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<h4><span style="font-weight: 400;">Assess open regions of chromatin at single nucleotide resolution</span></h4>
<ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">Gain insight into gene regulation and understand open chromatin signatures</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Determine nucleosome positions at single nucleotide resolution</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Uncover transcription factor (TF) occupancy</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Benefit from comprehensive service – tagmentation, library preparation, sequencing, and analysis</span><span style="font-weight: 400;"></span></li>
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<table style="width: 942px;">
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<p><span>Sample tagmentation</span></p>
</td>
<td style="width: 622px;">
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<li><span>Samples are sequenced on an Illumina ® platform, paired-end 2x75bp</span></li>
<li><span>100 million raw reads on average are obtained per sample when pooling 3samples/lane (Hi-seq 4000). Sequencing depth will be adjusted to project dependent criteria.</span></li>
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<ul>
<li><span style="font-weight: 400;">Report with sequencing statistics</span></li>
<li><span style="font-weight: 400;">Raw data in FASTQ format</span></li>
<li><span style="font-weight: 400;">FastQC reports</span></li>
<li><span style="font-weight: 400;">Alignment files in BAM format</span></li>
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<p><strong></strong></p>
<h2>Additional analysis on request:</h2>
<h4><em>Differential <span style="font-weight: 400;">accessibility </span>analysis:</em><strong><b> </b></strong></h4>
<p><strong><span style="font-weight: 400;">Identification and annotation (human, mouse, rat, drosophila) of differential chromatin accessibility between samples.</span></strong></p>
<p><strong>Provided files:</strong></p>
<ul>
<li><span style="font-weight: 400;">Report with summary of differential accessibility analysis and plots</span></li>
<li><span style="font-weight: 400;">Files containing differentially accessibility sites or unique peaks and breakdown of those in annotated regions: introns, exons, promoters, 1-to-5 kb upstream-TSS and intergenic regions for human, mouse, rat and drosophila.</span></li>
</ul>
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<h4><span style="font-weight: 400;"><i>Annotation in genomic regions</i><b>: </b></span></h4>
<p><span style="font-weight: 400;"><span style="font-weight: 400;">Annotation of ATAC-Seq peaks with genomic regions: introns, exons, promoters, 1-to-5 kb upstream-TSS and intergenic regions for human, mouse, rat and drosophila.</span></span></p>
<h4><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Gene ontology terms analysis</i><span style="font-weight: 400;">: </span></span></span></h4>
<p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Enrichment analysis on gene sets. Gene Ontology terms that are overrepresented in differentially bound regions may indicate the underlying biological processes involved. </span></span></span></p>
<h4><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Pathway analysis</i><span style="font-weight: 400;">: </span></span></span></span></h4>
<p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Identify biochemical pathways in which genes associated with differentially methylated regions (or individual differentially methylated CpGs) may be overrepresented. </span></span></span></span></p>
<h4><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Visualization of specific genomic regions:</i><span style="font-weight: 400;"> </span></span></span></span></span></h4>
<p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Visualization of results (i.e. sequencing data, peaks) at specific genomic regions (e.g. genes, promoters) in publication-ready images (human, mouse, rat). </span></span></span></span></span></p>
<h2>Additional information</h2>
<p><span style="font-weight: 400;">Generated files will be available for download during 1 month and stored for an additional period of 3 months on Diagenode’s servers. Additional long-term storage of data is available upon request. Original samples are stored at Diagenode during 12 months after project completion, but will be discarded once this time is exceeded. Return shipment of samples is available upon request. </span></p>
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<h4><span style="font-weight: 400;">Assess open regions of chromatin at single nucleotide resolution</span></h4>
<ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">Gain insight into gene regulation and understand open chromatin signatures</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Determine nucleosome positions at single nucleotide resolution</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Uncover transcription factor (TF) occupancy</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Benefit from comprehensive service – tagmentation, library preparation, sequencing, and analysis</span><span style="font-weight: 400;"></span></li>
</ul>
<p></p>
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<table style="width: 942px;">
<tbody>
<tr>
<td style="width: 312px;">
<p><span>Sample tagmentation</span></p>
</td>
<td style="width: 622px;">
<ul>
<li><span>Lysis</span></li>
<li><span>Tagmentation using Diagenode's Tagmentase (Tn5 transposase)</span></li>
</ul>
</td>
</tr>
<tr>
<td style="width: 312px;">
<p><span>Library preparation</span></p>
</td>
<td style="width: 622px;">
<ul>
<li><span>Library amplification</span></li>
<li><span>Library purification</span></li>
<li><span>QC on the ATAC-seq library (DNA concentration, analysis of library profile)</span></li>
<li><span>Library pooling</span></li>
</ul>
</td>
</tr>
<tr>
<td style="width: 312px;">
<p><span>Deep sequencing</span></p>
</td>
<td style="width: 622px;">
<ul>
<li><span>Samples are sequenced on an Illumina ® platform, paired-end 2x75bp</span></li>
<li><span>100 million raw reads on average are obtained per sample when pooling 3samples/lane (Hi-seq 4000). Sequencing depth will be adjusted to project dependent criteria.</span></li>
</ul>
</td>
</tr>
</tbody>
</table>
<p></p>
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<p><span style="font-weight: 400;">Quality check, alignment to reference genome and identification of enriched regions (peak calling).</span></p>
<p><b>Provided files:</b></p>
<ul>
<li><span style="font-weight: 400;">Report with sequencing statistics</span></li>
<li><span style="font-weight: 400;">Raw data in FASTQ format</span></li>
<li><span style="font-weight: 400;">FastQC reports</span></li>
<li><span style="font-weight: 400;">Alignment files in BAM format</span></li>
<li><b><span style="font-weight: 400;">Peak files in BED format</span></b><b><span style="font-weight: 400;"></span></b><strong></strong></li>
</ul>
<p><strong></strong></p>
<h2>Additional analysis on request:</h2>
<h4><em>Differential <span style="font-weight: 400;">accessibility </span>analysis:</em><strong><b> </b></strong></h4>
<p><strong><span style="font-weight: 400;">Identification and annotation (human, mouse, rat, drosophila) of differential chromatin accessibility between samples.</span></strong></p>
<p><strong>Provided files:</strong></p>
<ul>
<li><span style="font-weight: 400;">Report with summary of differential accessibility analysis and plots</span></li>
<li><span style="font-weight: 400;">Files containing differentially accessibility sites or unique peaks and breakdown of those in annotated regions: introns, exons, promoters, 1-to-5 kb upstream-TSS and intergenic regions for human, mouse, rat and drosophila.</span></li>
</ul>
<p></p>
<h4><span style="font-weight: 400;"><i>Annotation in genomic regions</i><b>: </b></span></h4>
<p><span style="font-weight: 400;"><span style="font-weight: 400;">Annotation of ATAC-Seq peaks with genomic regions: introns, exons, promoters, 1-to-5 kb upstream-TSS and intergenic regions for human, mouse, rat and drosophila.</span></span></p>
<h4><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Gene ontology terms analysis</i><span style="font-weight: 400;">: </span></span></span></h4>
<p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Enrichment analysis on gene sets. Gene Ontology terms that are overrepresented in differentially bound regions may indicate the underlying biological processes involved. </span></span></span></p>
<h4><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Pathway analysis</i><span style="font-weight: 400;">: </span></span></span></span></h4>
<p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Identify biochemical pathways in which genes associated with differentially methylated regions (or individual differentially methylated CpGs) may be overrepresented. </span></span></span></span></p>
<h4><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Visualization of specific genomic regions:</i><span style="font-weight: 400;"> </span></span></span></span></span></h4>
<p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Visualization of results (i.e. sequencing data, peaks) at specific genomic regions (e.g. genes, promoters) in publication-ready images (human, mouse, rat). </span></span></span></span></span></p>
<h2>Additional information</h2>
<p><span style="font-weight: 400;">Generated files will be available for download during 1 month and stored for an additional period of 3 months on Diagenode’s servers. Additional long-term storage of data is available upon request. Original samples are stored at Diagenode during 12 months after project completion, but will be discarded once this time is exceeded. Return shipment of samples is available upon request. </span></p>
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'description' => '<h2 class="text-center"><span class="diacol">New!</span> <br />Data mining using machine learning (AI) for unique epigenetic data insights</h2>
<center><img src="https://www.diagenode.com/img/product/data-mining-long.png" /></center>
<p></p>
<div id="paper" style="text-align: center;">
<h4><a href="https://www.youtube.com/watch?v=KXjnSHz3Jk8">Watch the webinar to gain insights on how data mining can be applied for epigenetics applications</a></h4>
</div>
<center><iframe width="560" height="315" src="https://www.youtube.com/embed/KXjnSHz3Jk8" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen="allowfullscreen"></iframe></center>
<p></p>
<div class="row">
<div class="small-12 medium-12 large-12 columns">
<blockquote style="padding-bottom: 0;"><span class="label-green" style="margin-bottom: 16px; margin-left: -22px; font-size: 22px;">WHITE PAPERS</span>
<div id="portal" class="main-portal">
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<ul data-tab="" class="tips-menu">
<li><a href="#panel1" class="tips portal button">Smokers vs non-smokers </a></li>
<li><a href="#panel2" class="tips portal button">Breast cancer</a></li>
</ul>
</nav></div>
</div>
<div class="tabs-content">
<div class="content active" id="panel1">
<h3 style="margin-top: 0;">Powerful new insights with epigenetic data mining.<br /> A study to distinguish smokers from non-smokers using just one droplet of blood</h3>
<p>Next generation sequencing in combination with sophisticated bioinformatics technologies for genomic, transcriptomic and epigeneomic analyses have enormous potential to establish new biomarkers for disease diagnostics, enabling true precision medicine. Analyses of liquid biopsies to measure thousands of different data points simultaneously in easily accessible body fluids (e.g. blood, urine, and saliva) are extremely promising for such biomarker studies.<br />(...)</p>
<a href="https://www.diagenode.com/en/pages/form-bioinfo" class="alert small button" target="_blank">Read more</a></div>
<div class="content" id="panel2">
<h3 style="margin-top: 0;">Data mining on DNA methylation data in cancer samples<br />Distinguishing normal from breast cancer tissue</h3>
<p>Breast cancer is the most commonly occurring cancer in women and the second most common cancer overall.</p>
<p>One important aspect of cancer tissues it that they differ from normal tissues in their epigenetic make up, especially in the DNA methylation pattern. In normal cells methylation assures the proper regulation of gene expression and stable gene silencing. DNA methylation is associated with histone modifications, and the interplay of these epigenetic modifications is crucial to regulate the functioning of the genome by changing chromatin architecture.<br />(...)</p>
<a href="https://www.diagenode.com/en/pages/form-bioinfo?app_note=23" class="alert small button" target="_blank">Read more</a></div>
</div>
</blockquote>
</div>
</div>
<p>Diagenode's new data mining service utilizes methods at the frontier of machine learning, statistics, and database systems. This enhanced service supports new discoveries that were previously not possible by analyzing patterns in large data sets to give informative new insights.</p>
<p>If you have data from patient cohorts, single cell analyses or any other heterogeneous scenarios, our service team provides enhanced support with optimal data analysis using our latest data mining capabilities. Specifically, our team applies machine learning technologies to find previously undiscovered or unobvious relationships within and across datasets. This advanced technology allows discovery of informative features from mass data, essentially “finding a needle in a haystack.”</p>
<p>Diagenode utilizes multiple algorithms to achieve advanced data mining and uses the most optimal combination of algorithms specific to your data. Our goal is to build strong classifiers that separate data into two or more classes or groups depending on associated data.</p>
<p class="extra-spaced">Different and multiple -omics data classes can be mined simultaneously. Integration with phenotypic and/or clinical data is also possible. We offer data mining services for several data classes including:</p>
<table class="extra-spaced">
<tbody>
<tr>
<td><strong>Epigenetic data</strong></td>
<td><strong>Transcriptomic data</strong></td>
</tr>
<tr>
<td>
<p>DNA Methylation (RRBS, WGBS, EPIC arrays)</p>
<p>ChIP-sequencing</p>
<p>ATAC-seq</p>
</td>
<td>
<p>mRNA-sequencing</p>
<p>Small and long non coding RNA</p>
<p>Single-cell RNA-sequencing</p>
</td>
</tr>
</tbody>
</table>
<p></p>
<p><strong>Biological Interpretation</strong></p>
<p class="extra-spaced">Machine learning classifiers also mirror the underlying biological differences between classes and are used to uncover the molecular processes at work. In order to achieve this, we offer biological interpretation services and pathway mining analyses for your data.</p>
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<p><a href="https://www.diagenode.com/en/categories/Services">Read about our wetlab services</a></p>
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'description' => '<p><strong>Chromatin immunoprecipitation followed by sequencing</strong> (<strong>ChIP-seq</strong>) is a powerful method allowing the genome-wide identification of DNA binding sites for proteins such as modified histones, transcription factors or chromatin remodelers. Determining how proteins interact with DNA to regulate gene expression is essential to fully understand many biological processes such as cell differentiation, organ development, and disease progression. The experts from our Epigenomics Profiling Services can help you to design your ChIP-seq project, optimize the workflow for your specific sample type/target, and provide you with high quality ChIP-seq data.</p>
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<p>We have expertise with many different types of samples as well as with a broad range of chromatin marks and can provide you with quality data even on very low input samples. Our bioinformatic experts will closely work with you to provide you with standard or customized analysis and will generate comprehensive publication-ready figures.</p>
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<li>Collaborative and customized project design to meet your needs</li>
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<p class="text-center"><img alt="ChIP Sequencing Services" src="https://www.diagenode.com/img/categories/chip_seq/ChIP-seq-success-experiment-WEB.png" /></p>
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<li>Library preparation on IPs and INPUTs material</li>
<li>Illumina sequencing run : Paired-end reads, 2x 50 bp, sequencing depth will be adjusted depending on the mark/specie studied</li>
<li>Quality check, alignment to reference genome, identification of enriched regions (peak calling)</li>
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<tr style="height: 38px;">
<td style="width: 218px; height: 38px; background-color: white;"></td>
<td style="width: 218px; height: 38px;"></td>
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<td style="width: 218px; height: 216px; background-color: #f9f9f9; text-align: center;" rowspan="3"><strong>2. ChIP on sample of interest</strong></td>
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<td style="width: 358px; height: 107px;">
<p style="text-align: center;"></p>
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<td style="width: 466px; height: 107px;">
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<li>Visualization of results (i.e. sequencing data, peaks) at specific genomic regions (e.g. genes, promoters) in publication-ready images</li>
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<p>Exploring the whole transcriptome allows to gain insight of potential transcriptional and regulatory network mechanisms. With <b>Total RNA-seq </b>services, we will sequence the whole transcriptome and record the complete set of RNA transcripts, including mRNAs and long non-coding RNAs, present in a biological sample under specific circumstances. This approach is optimal for finding biomarkers from known transcripts and discover new RNA features.</p>
<p>Our Epigenomics Profiling Services assure a fully integrated service-workflow for generation of RNA-seq libraries, multiplexed sequencing and data analysis. Serviced library preparation can be performed with an optional rRNA depletion step to enable cost-effective sequencing of RNA samples.</p>
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<h2>High discovery power with total RNA-seq</h2>
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<li>Detection of both coding and non-coding RNAs with optional rRNA depletion</li>
<li>Recognition of long coding RNAs involved in chromatin remodeling and transcriptional/post-transcriptional regulation</li>
<li>Investigation of the structure of genes, their splicing patterns and other post transcriptional modifications</li>
<li>Suitable for a broad range of input amounts</li>
<li>Compatible with FFPE samples</li>
<li>Fast turnaround time (from 5 to 6 weeks)</li>
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<li><strong>Project size</strong>: minimum of 24 samples</li>
<li><strong>Sample type</strong>: total isolated RNA</li>
<li><strong>Required quantities</strong>: minimum 5 ng of total RNA (Human, Mouse, Rat) or 100 ng (Plant)</li>
<li><strong>Shipment conditions</strong>: shipped in 1.5 mL or 0.5 mL tubes on dry ice</li>
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<div class="panel"><center><img src="http://www.diagenode.com/img/categories/services/chip-workflow.png" alt="Chromatin-Immunoprecipitation-Diagenode" /></center>
<p>Chromatin consists of DNA, histones and non-histone proteins. Understanding the roles of histones and transcription factors is critical in understanding the regulation of gene expression.</p>
<p>Using ChIP-seq analysis, it is possible to profile histone modifications and transcription factor binding genome-wide to elucidate control of gene expression in disease or in response to a drug treatment. Diagenode’s Epigenomic Profiling Services offer a wide variety of chromatin analysis options through ChIP-seq and ATAC-seq.</p>
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<center><img src="https://www.diagenode.com/img/logo-scientist-registered-supplier.png" /></center></div>
<div class="small-12 medium-8 large-8 columns"><center><img src="http://www.diagenode.com/img/applications/histone-marks-helice.png" alt="Histone-Antibodies-Diagenode" /></center><br href="../p/service-chip-seq" />
<h3><a href="../p/atac-seq-service">ATAC-seq: open chromatin regions</a></h3>
<p>Study genome-wide chromatin accessibility. Identify open chromatin sites and active regulatory elements such as promoter, enhancers, and insulators.</p>
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<p>Post-translational modification of histones is implicated in the regulation of gene expression, necessitating the study of regulatory elements and their interacting proteins like active promoter and enhancer analysis. Profile genome-wide histone modifications by ChIP-seq analysis to understand transcriptional regulation</p>
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<p>Our Epigenomics Profiling Services assure the sample preparation expertise and quality data that you seek. We provide epigenome-wide analyses for understanding epigenetic mechanisms, epigenetics-related drug discovery, transgenerational epigenetics studies, epigenetic biomarker identification (including epigenomic cancer biomarkers), and functional epigenomics. Diagenode offers expert epigenomics services that you can trust for chromatin, DNA, and RNA analysis. </p>
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<h3><span class="green">Chromatin</span> analysis</h3>
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<li>Customized NGS service</li>
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<p><i class="fa fa-arrow-circle-right"></i> <a href="../categories/chip-seq-service">Learn more</a></p>
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<h3><span class="darkgrey">DNA methylation</span> analysis</h3>
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<li>Infinium MethylationEPIC array </li>
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<p><i class="fa fa-arrow-circle-right"></i> <a href="../categories/dna-methylation-profiling-services">Learn more</a></p>
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<li><b></b>Whole transcriptome analysis<br /><br /><br /><br /><br /></li>
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<p><i class="fa fa-arrow-circle-right"></i> <a href="../categories/rna-seq-category">Learn more</a></p>
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<h2 style="text-align: center;"><a class="details radius small button" href="https://www.diagenode.com/en/documents/services-flyer">DOWNLOAD OUR FLYER</a></h2>
<h2>Why Diagenode</h2>
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<li><strong>Expertise and trust</strong>: Recognized epigenetics leader, official partner of <a href="http://www.blueprint-epigenome.eu/"><g class="gr_ gr_45 gr-alert gr_spell gr_inline_cards gr_disable_anim_appear ContextualSpelling ins-del multiReplace" id="45" data-gr-id="45">BLUEPRINT</g></a>, <a href="http://ihec-epigenomes.org/">IHEC</a> <g class="gr_ gr_46 gr-alert gr_gramm gr_inline_cards gr_disable_anim_appear Punctuation only-ins replaceWithoutSep" id="46" data-gr-id="46">and</g> <a href="https://www.faang.org/">FAANG</a></li>
<li><strong>Innovative technology</strong>: Utilization of the signature Bioruptor<sup>®</sup> sonication device for optimal chromatin and DNA shearing and the IP-Star<sup>®</sup> Automation device give reproducible and reliable optimization and results</li>
<li><strong>Quality</strong>: Multiple QC steps in all workflows and validated antibodies plus reagents deliver superior data</li>
<li><strong>Flexibility</strong>: Extensive range of sample species and sample origins</li>
<li><strong>Experience</strong> in epigenomics profiling for a wide range of applications and fields of interest</li>
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<div class="block-distri"><span class="label-green" style="margin-bottom: 16px; margin-left: -3px;">ANIMALS</span><center><img width="260" height="259" alt="services chip-seq - animals" src="https://www.diagenode.com/img/categories/services/services-animals.png" caption="false" /></center></div>
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<h2>12 years of expertise and trust in epigenetics</h2>
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<li><strong>End-to-end</strong> epigenetic service</li>
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<li>Dedicated <strong>in-house expert</strong> for your project</li>
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<h6 style="height:60px">Bioinformatics Data Mining Service</h6>
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</li>
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<div class="small-12 columns">
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<div class="small-12 columns">
<div class="small-6 columns" style="padding-left:0px;padding-right:0px;margin-top:-6px;margin-left:-1px">
<span class="success label" style="">G02010000</span>
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<h3>Get a quote</h3><p class="lead">You are about to request a quote for <strong>our epigenomics services</strong>. Fill out the form below and we will be in touch with you very soon.</p><p><small>All <span style="font-size:16px;color:red;">*</span> fields are mandatory</small></p>
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<h2>Service Information</h2>
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<h4>Which services are you interested in?</h4>
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<div class="small-12 large-12 columns">
<input type="hidden" name="data[Quote][epigenomics_service]" value="" id="QuoteEpigenomicsService"/>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="ChIP-seq" id="QuoteEpigenomicsServiceChIPSeq" /><label for="QuoteEpigenomicsServiceChIPSeq">ChIP-seq</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="ATAC-seq" id="QuoteEpigenomicsServiceATACSeq" /><label for="QuoteEpigenomicsServiceATACSeq">ATAC-seq</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="RRBS" id="QuoteEpigenomicsServiceRRBS" /><label for="QuoteEpigenomicsServiceRRBS">RRBS</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="WGBS" id="QuoteEpigenomicsServiceWGBS" /><label for="QuoteEpigenomicsServiceWGBS">WGBS</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="MeDIP-seq" id="QuoteEpigenomicsServiceMeDIPSeq" /><label for="QuoteEpigenomicsServiceMeDIPSeq">MeDIP-seq</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Targeted DNA methylation analysis" id="QuoteEpigenomicsServiceTargetedDNAMethylationAnalysis" /><label for="QuoteEpigenomicsServiceTargetedDNAMethylationAnalysis">Targeted DNA methylation analysis</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Infinium MethylationEPIC Array v2" id="QuoteEpigenomicsServiceInfiniumMethylationEPICArrayV2" /><label for="QuoteEpigenomicsServiceInfiniumMethylationEPICArrayV2">Infinium MethylationEPIC Array v2</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Infinium Mouse Methylation Array" id="QuoteEpigenomicsServiceInfiniumMouseMethylationArray" /><label for="QuoteEpigenomicsServiceInfiniumMouseMethylationArray">Infinium Mouse Methylation Array</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="RNA-seq" id="QuoteEpigenomicsServiceRNASeq" /><label for="QuoteEpigenomicsServiceRNASeq">RNA-seq</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Bioinformatics" id="QuoteEpigenomicsServiceBioinformatics" /><label for="QuoteEpigenomicsServiceBioinformatics">Bioinformatics</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Data mining" id="QuoteEpigenomicsServiceDataMining" /><label for="QuoteEpigenomicsServiceDataMining">Data mining</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Human Methylome" id="QuoteEpigenomicsServiceHumanMethylome" /><label for="QuoteEpigenomicsServiceHumanMethylome">Human Methylome</label></div>
</div>
<div class="row collapse">
<div class="small-12 medium-12 large-3 columns">
<span class="prefix">Sample species</span>
</div>
<div class="small-12 medium-12 large-9 columns">
<input name="data[Quote][sample_species]" maxlength="510" type="text" id="QuoteSampleSpecies"/> </div>
</div>
<div class="row collapse">
<div class="small-12 medium-12 large-6 columns">
<span class="prefix">Total number of samples (including replicates)</span>
</div>
<div class="small-12 medium-12 large-6 columns">
<input name="data[Quote][number_samples]" maxlength="255" type="text" id="QuoteNumberSamples"/> </div>
</div>
<div class="row collapse">
<h2>Contact Information</h2>
<div class="small-3 large-2 columns">
<span class="prefix">First name <sup style="font-size:16px;color:red;">*</sup></span>
</div>
<div class="small-9 large-10 columns">
<input name="data[Quote][first_name]" placeholder="john" maxlength="255" type="text" id="QuoteFirstName" required="required"/> </div>
</div>
<div class="row collapse">
<div class="small-3 large-2 columns">
<span class="prefix">Last name <sup style="font-size:16px;color:red;">*</sup></span>
</div>
<div class="small-9 large-10 columns">
<input name="data[Quote][last_name]" placeholder="doe" maxlength="255" type="text" id="QuoteLastName" required="required"/> </div>
</div>
<div class="row collapse">
<div class="small-3 large-2 columns">
<span class="prefix">Company <sup style="font-size:16px;color:red;">*</sup></span>
</div>
<div class="small-9 large-10 columns">
<input name="data[Quote][company]" placeholder="Organisation / Institute" maxlength="255" type="text" id="QuoteCompany" required="required"/> </div>
</div>
<div class="row collapse">
<div class="small-3 large-2 columns">
<span class="prefix">Phone number</span>
</div>
<div class="small-9 large-10 columns">
<input name="data[Quote][phone_number]" placeholder="+1 862 209-4680" maxlength="255" type="text" id="QuotePhoneNumber"/> </div>
</div>
<div class="row collapse">
<div class="small-3 large-2 columns">
<span class="prefix">City</span>
</div>
<div class="small-9 large-10 columns">
<input name="data[Quote][city]" placeholder="Denville" maxlength="255" type="text" id="QuoteCity"/> </div>
</div>
<div class="row collapse">
<div class="small-3 large-2 columns">
<span class="prefix">Country <sup style="font-size:16px;color:red;">*</sup></span>
</div>
<div class="small-9 large-10 columns">
<select name="data[Quote][country]" required="required" class="triggers" id="country_selector_quote-2681">
<option value="">-- select a country --</option>
<option value="AF">Afghanistan</option>
<option value="AX">Åland Islands</option>
<option value="AL">Albania</option>
<option value="DZ">Algeria</option>
<option value="AS">American Samoa</option>
<option value="AD">Andorra</option>
<option value="AO">Angola</option>
<option value="AI">Anguilla</option>
<option value="AQ">Antarctica</option>
<option value="AG">Antigua and Barbuda</option>
<option value="AR">Argentina</option>
<option value="AM">Armenia</option>
<option value="AW">Aruba</option>
<option value="AU">Australia</option>
<option value="AT">Austria</option>
<option value="AZ">Azerbaijan</option>
<option value="BS">Bahamas</option>
<option value="BH">Bahrain</option>
<option value="BD">Bangladesh</option>
<option value="BB">Barbados</option>
<option value="BY">Belarus</option>
<option value="BE">Belgium</option>
<option value="BZ">Belize</option>
<option value="BJ">Benin</option>
<option value="BM">Bermuda</option>
<option value="BT">Bhutan</option>
<option value="BO">Bolivia</option>
<option value="BQ">Bonaire, Sint Eustatius and Saba</option>
<option value="BA">Bosnia and Herzegovina</option>
<option value="BW">Botswana</option>
<option value="BV">Bouvet Island</option>
<option value="BR">Brazil</option>
<option value="IO">British Indian Ocean Territory</option>
<option value="BN">Brunei Darussalam</option>
<option value="BG">Bulgaria</option>
<option value="BF">Burkina Faso</option>
<option value="BI">Burundi</option>
<option value="KH">Cambodia</option>
<option value="CM">Cameroon</option>
<option value="CA">Canada</option>
<option value="CV">Cape Verde</option>
<option value="KY">Cayman Islands</option>
<option value="CF">Central African Republic</option>
<option value="TD">Chad</option>
<option value="CL">Chile</option>
<option value="CN">China</option>
<option value="CX">Christmas Island</option>
<option value="CC">Cocos (Keeling) Islands</option>
<option value="CO">Colombia</option>
<option value="KM">Comoros</option>
<option value="CG">Congo</option>
<option value="CD">Congo, The Democratic Republic of the</option>
<option value="CK">Cook Islands</option>
<option value="CR">Costa Rica</option>
<option value="CI">Côte d'Ivoire</option>
<option value="HR">Croatia</option>
<option value="CU">Cuba</option>
<option value="CW">Curaçao</option>
<option value="CY">Cyprus</option>
<option value="CZ">Czech Republic</option>
<option value="DK">Denmark</option>
<option value="DJ">Djibouti</option>
<option value="DM">Dominica</option>
<option value="DO">Dominican Republic</option>
<option value="EC">Ecuador</option>
<option value="EG">Egypt</option>
<option value="SV">El Salvador</option>
<option value="GQ">Equatorial Guinea</option>
<option value="ER">Eritrea</option>
<option value="EE">Estonia</option>
<option value="ET">Ethiopia</option>
<option value="FK">Falkland Islands (Malvinas)</option>
<option value="FO">Faroe Islands</option>
<option value="FJ">Fiji</option>
<option value="FI">Finland</option>
<option value="FR">France</option>
<option value="GF">French Guiana</option>
<option value="PF">French Polynesia</option>
<option value="TF">French Southern Territories</option>
<option value="GA">Gabon</option>
<option value="GM">Gambia</option>
<option value="GE">Georgia</option>
<option value="DE">Germany</option>
<option value="GH">Ghana</option>
<option value="GI">Gibraltar</option>
<option value="GR">Greece</option>
<option value="GL">Greenland</option>
<option value="GD">Grenada</option>
<option value="GP">Guadeloupe</option>
<option value="GU">Guam</option>
<option value="GT">Guatemala</option>
<option value="GG">Guernsey</option>
<option value="GN">Guinea</option>
<option value="GW">Guinea-Bissau</option>
<option value="GY">Guyana</option>
<option value="HT">Haiti</option>
<option value="HM">Heard Island and McDonald Islands</option>
<option value="VA">Holy See (Vatican City State)</option>
<option value="HN">Honduras</option>
<option value="HK">Hong Kong</option>
<option value="HU">Hungary</option>
<option value="IS">Iceland</option>
<option value="IN">India</option>
<option value="ID">Indonesia</option>
<option value="IR">Iran, Islamic Republic of</option>
<option value="IQ">Iraq</option>
<option value="IE">Ireland</option>
<option value="IM">Isle of Man</option>
<option value="IL">Israel</option>
<option value="IT">Italy</option>
<option value="JM">Jamaica</option>
<option value="JP">Japan</option>
<option value="JE">Jersey</option>
<option value="JO">Jordan</option>
<option value="KZ">Kazakhstan</option>
<option value="KE">Kenya</option>
<option value="KI">Kiribati</option>
<option value="KP">Korea, Democratic People's Republic of</option>
<option value="KR">Korea, Republic of</option>
<option value="KW">Kuwait</option>
<option value="KG">Kyrgyzstan</option>
<option value="LA">Lao People's Democratic Republic</option>
<option value="LV">Latvia</option>
<option value="LB">Lebanon</option>
<option value="LS">Lesotho</option>
<option value="LR">Liberia</option>
<option value="LY">Libya</option>
<option value="LI">Liechtenstein</option>
<option value="LT">Lithuania</option>
<option value="LU">Luxembourg</option>
<option value="MO">Macao</option>
<option value="MK">Macedonia, Republic of</option>
<option value="MG">Madagascar</option>
<option value="MW">Malawi</option>
<option value="MY">Malaysia</option>
<option value="MV">Maldives</option>
<option value="ML">Mali</option>
<option value="MT">Malta</option>
<option value="MH">Marshall Islands</option>
<option value="MQ">Martinique</option>
<option value="MR">Mauritania</option>
<option value="MU">Mauritius</option>
<option value="YT">Mayotte</option>
<option value="MX">Mexico</option>
<option value="FM">Micronesia, Federated States of</option>
<option value="MD">Moldova</option>
<option value="MC">Monaco</option>
<option value="MN">Mongolia</option>
<option value="ME">Montenegro</option>
<option value="MS">Montserrat</option>
<option value="MA">Morocco</option>
<option value="MZ">Mozambique</option>
<option value="MM">Myanmar</option>
<option value="NA">Namibia</option>
<option value="NR">Nauru</option>
<option value="NP">Nepal</option>
<option value="NL">Netherlands</option>
<option value="NC">New Caledonia</option>
<option value="NZ">New Zealand</option>
<option value="NI">Nicaragua</option>
<option value="NE">Niger</option>
<option value="NG">Nigeria</option>
<option value="NU">Niue</option>
<option value="NF">Norfolk Island</option>
<option value="MP">Northern Mariana Islands</option>
<option value="NO">Norway</option>
<option value="OM">Oman</option>
<option value="PK">Pakistan</option>
<option value="PW">Palau</option>
<option value="PS">Palestine, State of</option>
<option value="PA">Panama</option>
<option value="PG">Papua New Guinea</option>
<option value="PY">Paraguay</option>
<option value="PE">Peru</option>
<option value="PH">Philippines</option>
<option value="PN">Pitcairn</option>
<option value="PL">Poland</option>
<option value="PT">Portugal</option>
<option value="PR">Puerto Rico</option>
<option value="QA">Qatar</option>
<option value="RE">Réunion</option>
<option value="RO">Romania</option>
<option value="RU">Russian Federation</option>
<option value="RW">Rwanda</option>
<option value="BL">Saint Barthélemy</option>
<option value="SH">Saint Helena, Ascension and Tristan da Cunha</option>
<option value="KN">Saint Kitts and Nevis</option>
<option value="LC">Saint Lucia</option>
<option value="MF">Saint Martin (French part)</option>
<option value="PM">Saint Pierre and Miquelon</option>
<option value="VC">Saint Vincent and the Grenadines</option>
<option value="WS">Samoa</option>
<option value="SM">San Marino</option>
<option value="ST">Sao Tome and Principe</option>
<option value="SA">Saudi Arabia</option>
<option value="SN">Senegal</option>
<option value="RS">Serbia</option>
<option value="SC">Seychelles</option>
<option value="SL">Sierra Leone</option>
<option value="SG">Singapore</option>
<option value="SX">Sint Maarten (Dutch part)</option>
<option value="SK">Slovakia</option>
<option value="SI">Slovenia</option>
<option value="SB">Solomon Islands</option>
<option value="SO">Somalia</option>
<option value="ZA">South Africa</option>
<option value="GS">South Georgia and the South Sandwich Islands</option>
<option value="ES">Spain</option>
<option value="LK">Sri Lanka</option>
<option value="SD">Sudan</option>
<option value="SR">Suriname</option>
<option value="SS">South Sudan</option>
<option value="SJ">Svalbard and Jan Mayen</option>
<option value="SZ">Swaziland</option>
<option value="SE">Sweden</option>
<option value="CH">Switzerland</option>
<option value="SY">Syrian Arab Republic</option>
<option value="TW">Taiwan</option>
<option value="TJ">Tajikistan</option>
<option value="TZ">Tanzania</option>
<option value="TH">Thailand</option>
<option value="TL">Timor-Leste</option>
<option value="TG">Togo</option>
<option value="TK">Tokelau</option>
<option value="TO">Tonga</option>
<option value="TT">Trinidad and Tobago</option>
<option value="TN">Tunisia</option>
<option value="TR">Turkey</option>
<option value="TM">Turkmenistan</option>
<option value="TC">Turks and Caicos Islands</option>
<option value="TV">Tuvalu</option>
<option value="UG">Uganda</option>
<option value="UA">Ukraine</option>
<option value="AE">United Arab Emirates</option>
<option value="GB">United Kingdom</option>
<option value="US" selected="selected">United States</option>
<option value="UM">United States Minor Outlying Islands</option>
<option value="UY">Uruguay</option>
<option value="UZ">Uzbekistan</option>
<option value="VU">Vanuatu</option>
<option value="VE">Venezuela</option>
<option value="VN">Viet Nam</option>
<option value="VG">Virgin Islands, British</option>
<option value="VI">Virgin Islands, U.S.</option>
<option value="WF">Wallis and Futuna</option>
<option value="EH">Western Sahara</option>
<option value="YE">Yemen</option>
<option value="ZM">Zambia</option>
<option value="ZW">Zimbabwe</option>
</select><script>
$('#country_selector_quote-2681').selectize();
</script><br />
</div>
</div>
<div class="row collapse">
<div class="small-3 large-2 columns">
<span class="prefix">State</span>
</div>
<div class="small-9 large-10 columns">
<input name="data[Quote][state]" id="state-2681" maxlength="3" type="text"/><br />
</div>
</div>
<div class="row collapse">
<div class="small-3 large-2 columns">
<span class="prefix">Email <sup style="font-size:16px;color:red;">*</sup></span>
</div>
<div class="small-9 large-10 columns">
<input name="data[Quote][email]" placeholder="email@address.com" maxlength="255" type="email" id="QuoteEmail" required="required"/> </div>
</div>
<div class="row collapse" id="email_v">
<div class="small-3 large-2 columns">
<span class="prefix">Email verification<sup style="font-size:16px;color:red;">*</sup></span>
</div>
<div class="small-9 large-10 columns">
<input name="data[Quote][email_v]" autocomplete="nope" type="text" id="QuoteEmailV"/> </div>
</div>
<div class="row collapse">
<div class="small-3 large-2 columns">
<span class="prefix">Project</span>
</div>
<div class="small-9 large-10 columns">
<textarea name="data[Quote][comment]" placeholder="Describe your project" cols="30" rows="6" id="QuoteComment"></textarea> </div>
</div>
<!------------SERVICES PARTICULAR FORM START---------------->
<!------------DATA TO POPULATE REGARDING SPECIFIC SERVICES----->
<div class="row collapse">
<div class="small-3 large-2 columns">
</div>
<div class="small-9 large-10 columns">
<div class="recaptcha"><div id="recaptcha662896ec293f7"></div></div> </div>
</div>
<br />
<div class="row collapse">
<div class="small-3 large-2 columns">
</div>
<div class="small-9 large-10 columns">
<button id="submit_btn-2681" class="alert button expand" form="Quote-2681" type="submit">Contact me</button> </div>
</div>
</form><script>
var pardotFormHandlerURL = 'https://go.diagenode.com/l/928883/2022-10-10/36b1c';
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<a class="close-reveal-modal" aria-label="Close">×</a></div><!-- END: QUOTE MODAL --><a href="#" id="service-chip-seq" data-reveal-id="quoteModal-2681" class="quote_btn" style="color:#B21329"><i class="fa fa-info-circle"></i></a>
</div>
</div>
<div class="small-12 columns" >
<h6 style="height:60px">ChIP-seq/ChIP-qPCR Profiling service</h6>
</div>
</div>
</li>
<li>
<div class="row">
<div class="small-12 columns">
<a href="/cn/p/rna-seq-services"><img src="/img/grey-logo.jpg" alt="default alt" class="th"/></a> </div>
<div class="small-12 columns">
<div class="small-6 columns" style="padding-left:0px;padding-right:0px;margin-top:-6px;margin-left:-1px">
<span class="success label" style="">G02030000</span>
</div>
<div class="small-6 columns text-right" style="padding-left:0px;padding-right:0px;margin-top:-6px">
<!--a href="#" style="color:#B21329"><i class="fa fa-info-circle"></i></a-->
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<div class="row">
<div class="small-12 medium-12 large-12 columns">
<h3>Get a quote</h3><p class="lead">You are about to request a quote for <strong>RNA-seq services</strong>. Fill out the form below and we will be in touch with you very soon.</p><p><small>All <span style="font-size:16px;color:red;">*</span> fields are mandatory</small></p>
</div>
</div>
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<h2>Your project</h2>
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<h4>Which services are you interested in?</h4>
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<div class="checkbox"><input type="checkbox" name="data[Quote][rna_seq_service][]" value="High-throughput 3mRNA-seq" id="QuoteRnaSeqServiceHighThroughput3mRNASeq" /><label for="QuoteRnaSeqServiceHighThroughput3mRNASeq">High-throughput 3mRNA-seq</label></div>
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<div class="row collapse">
<div class="small-12 medium-12 large-3 columns">
<span class="prefix">Sample species</span>
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<div class="small-12 medium-12 large-9 columns">
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<div class="row collapse">
<div class="small-12 medium-12 large-6 columns">
<span class="prefix">Total number of samples (including replicates)</span>
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<div class="small-12 medium-12 large-6 columns">
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<h2>Contact Information</h2>
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<div class="small-9 large-10 columns">
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<div class="small-9 large-10 columns">
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<div class="row collapse">
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<span class="prefix">Company <sup style="font-size:16px;color:red;">*</sup></span>
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<div class="row collapse">
<div class="small-3 large-2 columns">
<span class="prefix">Phone number</span>
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<div class="small-9 large-10 columns">
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<div class="row collapse">
<div class="small-3 large-2 columns">
<span class="prefix">City</span>
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<option value="NA">Namibia</option>
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<!------------DATA TO POPULATE REGARDING SPECIFIC SERVICES----->
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<h6 style="height:60px">RNA-seq services</h6>
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<p>Exploring the whole transcriptome allows to gain insight of potential transcriptional and regulatory network mechanisms. With <b>Total RNA-seq </b>services, we will sequence the whole transcriptome and record the complete set of RNA transcripts, including mRNAs and long non-coding RNAs, present in a biological sample under specific circumstances. This approach is optimal for finding biomarkers from known transcripts and discover new RNA features.</p>
<p>Our Epigenomics Profiling Services assure a fully integrated service-workflow for generation of RNA-seq libraries, multiplexed sequencing and data analysis. Serviced library preparation can be performed with an optional rRNA depletion step to enable cost-effective sequencing of RNA samples.</p>
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<h2>High discovery power with total RNA-seq</h2>
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<p><span><i class="fa fa-arrow-circle-right"></i> </span><a href="https://www.diagenode.com/en/categories/rna-seq-category">See our other RNA-seq Profiling Services</a></p>',
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<li><strong>Required quantities</strong>: minimum 5 ng of total RNA (Human, Mouse, Rat) or 100 ng (Plant)</li>
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<h4 class="text-center"><strong>Standard bioinformatic analysis</strong><br /> (optional for additional fee)</h4>
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<h4 class="text-center"><strong>Advanced bioinformatic analysis</strong><br /> (optional for additional fee)</h4>
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<li>Demultiplexing, read quality control, trimming and filtering</li>
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'description' => '<p>ATAC-seq (<strong>A</strong>ssay for <strong>T</strong>ransposase-<strong>A</strong>ccessible <strong>C</strong>hromatin using <strong>seq</strong>uencing) allows for assessing genome-wide chromatin accessibility. The technology is based on the use of the transposase Tn5 which cuts exposed open chromatin and simultaneously ligates adapters for subsequent amplification and sequencing.<br /><br /></p>
<h4><span style="font-weight: 400;">Assess open regions of chromatin at single nucleotide resolution</span></h4>
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<li style="font-weight: 400;"><span style="font-weight: 400;">Gain insight into gene regulation and understand open chromatin signatures</span></li>
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<li style="font-weight: 400;"><span style="font-weight: 400;">Benefit from comprehensive service – tagmentation, library preparation, sequencing, and analysis</span><span style="font-weight: 400;"></span></li>
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<p><span>Sample tagmentation</span></p>
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<li><span>Samples are sequenced on an Illumina ® platform, paired-end 2x75bp</span></li>
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<p><span style="font-weight: 400;">Quality check, alignment to reference genome and identification of enriched regions (peak calling).</span></p>
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<h2>Additional analysis on request:</h2>
<h4><em>Differential <span style="font-weight: 400;">accessibility </span>analysis:</em><strong><b> </b></strong></h4>
<p><strong><span style="font-weight: 400;">Identification and annotation (human, mouse, rat, drosophila) of differential chromatin accessibility between samples.</span></strong></p>
<p><strong>Provided files:</strong></p>
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<li><span style="font-weight: 400;">Report with summary of differential accessibility analysis and plots</span></li>
<li><span style="font-weight: 400;">Files containing differentially accessibility sites or unique peaks and breakdown of those in annotated regions: introns, exons, promoters, 1-to-5 kb upstream-TSS and intergenic regions for human, mouse, rat and drosophila.</span></li>
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<h4><span style="font-weight: 400;"><i>Annotation in genomic regions</i><b>: </b></span></h4>
<p><span style="font-weight: 400;"><span style="font-weight: 400;">Annotation of ATAC-Seq peaks with genomic regions: introns, exons, promoters, 1-to-5 kb upstream-TSS and intergenic regions for human, mouse, rat and drosophila.</span></span></p>
<h4><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Gene ontology terms analysis</i><span style="font-weight: 400;">: </span></span></span></h4>
<p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Enrichment analysis on gene sets. Gene Ontology terms that are overrepresented in differentially bound regions may indicate the underlying biological processes involved. </span></span></span></p>
<h4><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Pathway analysis</i><span style="font-weight: 400;">: </span></span></span></span></h4>
<p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Identify biochemical pathways in which genes associated with differentially methylated regions (or individual differentially methylated CpGs) may be overrepresented. </span></span></span></span></p>
<h4><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Visualization of specific genomic regions:</i><span style="font-weight: 400;"> </span></span></span></span></span></h4>
<p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Visualization of results (i.e. sequencing data, peaks) at specific genomic regions (e.g. genes, promoters) in publication-ready images (human, mouse, rat). </span></span></span></span></span></p>
<h2>Additional information</h2>
<p><span style="font-weight: 400;">Generated files will be available for download during 1 month and stored for an additional period of 3 months on Diagenode’s servers. Additional long-term storage of data is available upon request. Original samples are stored at Diagenode during 12 months after project completion, but will be discarded once this time is exceeded. Return shipment of samples is available upon request. </span></p>
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'description' => '<p>ATAC-seq (<strong>A</strong>ssay for <strong>T</strong>ransposase-<strong>A</strong>ccessible <strong>C</strong>hromatin using <strong>seq</strong>uencing) allows for assessing genome-wide chromatin accessibility. The technology is based on the use of the transposase Tn5 which cuts exposed open chromatin and simultaneously ligates adapters for subsequent amplification and sequencing.<br /><br /></p>
<h4><span style="font-weight: 400;">Assess open regions of chromatin at single nucleotide resolution</span></h4>
<ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">Gain insight into gene regulation and understand open chromatin signatures</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Determine nucleosome positions at single nucleotide resolution</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Uncover transcription factor (TF) occupancy</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Benefit from comprehensive service – tagmentation, library preparation, sequencing, and analysis</span><span style="font-weight: 400;"></span></li>
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<p><span>Sample tagmentation</span></p>
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<td style="width: 622px;">
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<li><span>Lysis</span></li>
<li><span>Tagmentation using Diagenode's Tagmentase (Tn5 transposase)</span></li>
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<p><span>Library preparation</span></p>
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<li><span>Library pooling</span></li>
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<li><span>100 million raw reads on average are obtained per sample when pooling 3samples/lane (Hi-seq 4000). Sequencing depth will be adjusted to project dependent criteria.</span></li>
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<p><span style="font-weight: 400;">Quality check, alignment to reference genome and identification of enriched regions (peak calling).</span></p>
<p><b>Provided files:</b></p>
<ul>
<li><span style="font-weight: 400;">Report with sequencing statistics</span></li>
<li><span style="font-weight: 400;">Raw data in FASTQ format</span></li>
<li><span style="font-weight: 400;">FastQC reports</span></li>
<li><span style="font-weight: 400;">Alignment files in BAM format</span></li>
<li><b><span style="font-weight: 400;">Peak files in BED format</span></b><b><span style="font-weight: 400;"></span></b><strong></strong></li>
</ul>
<p><strong></strong></p>
<h2>Additional analysis on request:</h2>
<h4><em>Differential <span style="font-weight: 400;">accessibility </span>analysis:</em><strong><b> </b></strong></h4>
<p><strong><span style="font-weight: 400;">Identification and annotation (human, mouse, rat, drosophila) of differential chromatin accessibility between samples.</span></strong></p>
<p><strong>Provided files:</strong></p>
<ul>
<li><span style="font-weight: 400;">Report with summary of differential accessibility analysis and plots</span></li>
<li><span style="font-weight: 400;">Files containing differentially accessibility sites or unique peaks and breakdown of those in annotated regions: introns, exons, promoters, 1-to-5 kb upstream-TSS and intergenic regions for human, mouse, rat and drosophila.</span></li>
</ul>
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<h4><span style="font-weight: 400;"><i>Annotation in genomic regions</i><b>: </b></span></h4>
<p><span style="font-weight: 400;"><span style="font-weight: 400;">Annotation of ATAC-Seq peaks with genomic regions: introns, exons, promoters, 1-to-5 kb upstream-TSS and intergenic regions for human, mouse, rat and drosophila.</span></span></p>
<h4><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Gene ontology terms analysis</i><span style="font-weight: 400;">: </span></span></span></h4>
<p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Enrichment analysis on gene sets. Gene Ontology terms that are overrepresented in differentially bound regions may indicate the underlying biological processes involved. </span></span></span></p>
<h4><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Pathway analysis</i><span style="font-weight: 400;">: </span></span></span></span></h4>
<p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Identify biochemical pathways in which genes associated with differentially methylated regions (or individual differentially methylated CpGs) may be overrepresented. </span></span></span></span></p>
<h4><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Visualization of specific genomic regions:</i><span style="font-weight: 400;"> </span></span></span></span></span></h4>
<p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Visualization of results (i.e. sequencing data, peaks) at specific genomic regions (e.g. genes, promoters) in publication-ready images (human, mouse, rat). </span></span></span></span></span></p>
<h2>Additional information</h2>
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'description' => '<h2 class="text-center"><span class="diacol">New!</span> <br />Data mining using machine learning (AI) for unique epigenetic data insights</h2>
<center><img src="https://www.diagenode.com/img/product/data-mining-long.png" /></center>
<p></p>
<div id="paper" style="text-align: center;">
<h4><a href="https://www.youtube.com/watch?v=KXjnSHz3Jk8">Watch the webinar to gain insights on how data mining can be applied for epigenetics applications</a></h4>
</div>
<center><iframe width="560" height="315" src="https://www.youtube.com/embed/KXjnSHz3Jk8" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen="allowfullscreen"></iframe></center>
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<blockquote style="padding-bottom: 0;"><span class="label-green" style="margin-bottom: 16px; margin-left: -22px; font-size: 22px;">WHITE PAPERS</span>
<div id="portal" class="main-portal">
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<ul data-tab="" class="tips-menu">
<li><a href="#panel1" class="tips portal button">Smokers vs non-smokers </a></li>
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<div class="content active" id="panel1">
<h3 style="margin-top: 0;">Powerful new insights with epigenetic data mining.<br /> A study to distinguish smokers from non-smokers using just one droplet of blood</h3>
<p>Next generation sequencing in combination with sophisticated bioinformatics technologies for genomic, transcriptomic and epigeneomic analyses have enormous potential to establish new biomarkers for disease diagnostics, enabling true precision medicine. Analyses of liquid biopsies to measure thousands of different data points simultaneously in easily accessible body fluids (e.g. blood, urine, and saliva) are extremely promising for such biomarker studies.<br />(...)</p>
<a href="https://www.diagenode.com/en/pages/form-bioinfo" class="alert small button" target="_blank">Read more</a></div>
<div class="content" id="panel2">
<h3 style="margin-top: 0;">Data mining on DNA methylation data in cancer samples<br />Distinguishing normal from breast cancer tissue</h3>
<p>Breast cancer is the most commonly occurring cancer in women and the second most common cancer overall.</p>
<p>One important aspect of cancer tissues it that they differ from normal tissues in their epigenetic make up, especially in the DNA methylation pattern. In normal cells methylation assures the proper regulation of gene expression and stable gene silencing. DNA methylation is associated with histone modifications, and the interplay of these epigenetic modifications is crucial to regulate the functioning of the genome by changing chromatin architecture.<br />(...)</p>
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<p>Diagenode's new data mining service utilizes methods at the frontier of machine learning, statistics, and database systems. This enhanced service supports new discoveries that were previously not possible by analyzing patterns in large data sets to give informative new insights.</p>
<p>If you have data from patient cohorts, single cell analyses or any other heterogeneous scenarios, our service team provides enhanced support with optimal data analysis using our latest data mining capabilities. Specifically, our team applies machine learning technologies to find previously undiscovered or unobvious relationships within and across datasets. This advanced technology allows discovery of informative features from mass data, essentially “finding a needle in a haystack.”</p>
<p>Diagenode utilizes multiple algorithms to achieve advanced data mining and uses the most optimal combination of algorithms specific to your data. Our goal is to build strong classifiers that separate data into two or more classes or groups depending on associated data.</p>
<p class="extra-spaced">Different and multiple -omics data classes can be mined simultaneously. Integration with phenotypic and/or clinical data is also possible. We offer data mining services for several data classes including:</p>
<table class="extra-spaced">
<tbody>
<tr>
<td><strong>Epigenetic data</strong></td>
<td><strong>Transcriptomic data</strong></td>
</tr>
<tr>
<td>
<p>DNA Methylation (RRBS, WGBS, EPIC arrays)</p>
<p>ChIP-sequencing</p>
<p>ATAC-seq</p>
</td>
<td>
<p>mRNA-sequencing</p>
<p>Small and long non coding RNA</p>
<p>Single-cell RNA-sequencing</p>
</td>
</tr>
</tbody>
</table>
<p></p>
<p><strong>Biological Interpretation</strong></p>
<p class="extra-spaced">Machine learning classifiers also mirror the underlying biological differences between classes and are used to uncover the molecular processes at work. In order to achieve this, we offer biological interpretation services and pathway mining analyses for your data.</p>
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'label1' => 'Data mining modules ',
'info1' => '<ol>
<li><strong>Feasibility study</strong></li>
</ol>
<ul>
<li>Assessment of data characteristics and <span></span>applicability of different machine learning (ML)</li>
<li>Prototypic analyses:</li>
<li>Initial feasibility report</li>
</ul>
<p></p>
<ol start="2">
<li><strong>Data Mining</strong></li>
</ol>
<ul>
<li>Machine learning on data</li>
<li>Data evaluation and validation</li>
<li>Report generation</li>
</ul>
<p> </p>
<ol start="3">
<li><strong>Data Interpretation</strong></li>
</ol>
<ul>
<li>Integration of background knowledge</li>
<li>Functional interpretation / pathway mining</li>
<li>Scientific reporting</li>
</ul>
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'label2' => 'Integration with wet lab services and bioinformatics',
'info2' => '<p>A clear advantage of <strong>Diagenode’s data mining services</strong> is the close connection with<span> </span>other service offerings like <strong>wet lab analysis services</strong> and <strong>bioinformatics services</strong>. You can retrieve a full service package from a single source.</p>
<p><a href="https://www.diagenode.com/en/categories/Services">Read about our wetlab services</a></p>
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'slug' => 'data-mining-service',
'meta_title' => 'Bioinformatics Data Mining Service | Diagenode',
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'meta_description' => 'Diagenode Data Mining Services utilizes multiple algorithms to achieve advanced data mining and uses the most optimal combination of algorithms specific to your data.',
'modified' => '2020-12-21 08:05:15',
'created' => '2019-04-08 16:43:26',
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'name' => 'ChIP-seq Profiling Service',
'description' => '<p><strong>Chromatin immunoprecipitation followed by sequencing</strong> (<strong>ChIP-seq</strong>) is a powerful method allowing the genome-wide identification of DNA binding sites for proteins such as modified histones, transcription factors or chromatin remodelers. Determining how proteins interact with DNA to regulate gene expression is essential to fully understand many biological processes such as cell differentiation, organ development, and disease progression. The experts from our Epigenomics Profiling Services can help you to design your ChIP-seq project, optimize the workflow for your specific sample type/target, and provide you with high quality ChIP-seq data.</p>
<p>We use in house optimized reagents:</p>
<ul>
<li>Validated ChIP-seq Kits</li>
<li>Validated ChIP-seq grade antibodies</li>
</ul>
<p>And in-house developed equipment:</p>
<ul>
<li><strong>Bioruptor </strong>– for efficient and reproducible chromatin shearing</li>
</ul>
<p>We have expertise with many different types of samples as well as with a broad range of chromatin marks and can provide you with quality data even on very low input samples. Our bioinformatic experts will closely work with you to provide you with standard or customized analysis and will generate comprehensive publication-ready figures.</p>
<ul>
<li>Collaborative and customized project design to meet your needs</li>
<li>Dedicated in-house expert</li>
<li>End-to-end or customized service including wet lab and bioinformatic services</li>
</ul>
<p class="text-center"><img alt="ChIP Sequencing Services" src="https://www.diagenode.com/img/categories/chip_seq/ChIP-seq-success-experiment-WEB.png" /></p>
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'label1' => 'ChIP-seq service description',
'info1' => '<p>In order to provide you with the highest quality data, our ChIP-seq service is composed of two major steps:</p>
<ol>
<li><strong>ChIP validation</strong> - during this step we optimize the ChIP conditions that depend on your sample type, target and amount of cells.</li>
<li><strong>ChIP on sample of interest</strong> - once the best ChIP conditions are validated, the samples of interest can be processed.</li>
</ol>
<p></p>
<p>ChIP-seq service includes:</p>
<table style="width: 918px;">
<tbody>
<tr style="height: 62px;">
<td style="width: 218px; height: 220px; background-color: #f9f9f9;" rowspan="3"><strong>1. ChIP validation</strong></td>
<td style="width: 417px; height: 62px;"><strong>Chromatin Shearing validation</strong></td>
<td style="width: 568px; height: 62px;">
<ul>
<li>Testing 2 shearing times for each cell type/tissue type</li>
</ul>
</td>
</tr>
<tr style="height: 27px;">
<td style="width: 417px; height: 27px; background-color: white;"><strong>ChIP/Ab validation</strong></td>
<td style="width: 417px; height: 27px; background-color: white;">
<ul>
<li>Testing 2 Ab amounts and/or 2 Ab references per target of interest</li>
<li>qPCR analysis if positive and negative control regions can be provided</li>
<li>Library preparation on IPs and INPUTs material</li>
<li>Illumina sequencing run : Paired-end reads, 2x 50 bp, sequencing depth will be adjusted depending on the mark/specie studied</li>
<li>Quality check, alignment to reference genome, identification of enriched regions (peak calling)</li>
</ul>
</td>
</tr>
<tr style="height: 131px;">
<td style="width: 417px; height: 131px;"><strong>Primers design and validation</strong></td>
<td style="width: 568px; height: 131px;">
<ul>
<li>Performed on gDNA based on the data obtained during the ChIP/Ab validation. Those primers will be used for further qPCR validation of the ChIP on the samples of interest</li>
</ul>
</td>
</tr>
<tr style="height: 38px;">
<td style="width: 218px; height: 38px; background-color: white;"></td>
<td style="width: 218px; height: 38px;"></td>
<td style="width: 218px; height: 38px;"></td>
</tr>
<tr style="height: 59px;">
<td style="width: 218px; height: 216px; background-color: #f9f9f9; text-align: center;" rowspan="3"><strong>2. ChIP on sample of interest</strong></td>
<td style="width: 417px; height: 59px;"><strong>Chromatin IP</strong></td>
<td style="width: 568px; height: 59px;">
<ul>
<li>Chromatin shearing</li>
<li>IPs</li>
<li>qPCR analysis using primers that have been validated during the ChIP validation</li>
</ul>
</td>
</tr>
<tr style="height: 69px;">
<td style="width: 568px; height: 69px; background-color: white;"><strong>Library Preparation</strong></td>
<td style="width: 568px; height: 69px; background-color: white;">
<ul>
<li>Library preparation and purification on IPs and INPUTs material</li>
</ul>
</td>
</tr>
<tr style="height: 88px;">
<td style="width: 417px; height: 88px;"><strong>Sequencing</strong></td>
<td style="width: 568px; height: 88px;">
<ul>
<li>Illumina sequencing run: Paired-end reads, 2x 50 bp, sequencing depth will be adjusted depending on the mark/specie studied</li>
</ul>
</td>
</tr>
</tbody>
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'label2' => 'Bioinformatic analysis',
'info2' => '<h3>Bioinformatic analyses on samples of interest</h3>
<table style="width: 972px;">
<tbody>
<tr style="height: 107px; border-color: 1px;">
<td style="width: 137px; height: 107px; background-color: #f9f9f9; text-align: center;"><strong>Standard bioinformatics</strong></td>
<td style="width: 358px; height: 107px;">
<p style="text-align: center;"></p>
</td>
<td style="width: 466px; height: 107px;">
<ul>
<li>Quality check, alignment to reference genome, identification of enriched regions (peak calling)</li>
</ul>
</td>
</tr>
<tr style="height: 24px;">
<td style="width: 137px; height: 24px; background-color: white; text-align: center;"><strong></strong></td>
<td style="width: 137px; height: 24px; background-color: #f9f9f9; text-align: center;"></td>
<td style="width: 137px; height: 24px; background-color: #f9f9f9; text-align: center;"></td>
</tr>
<tr style="height: 41px;">
<td style="width: 137px; height: 170px; background-color: #f9f9f9; text-align: center;" rowspan="5"><strong>Advanced bioinformatics</strong></td>
<td style="width: 466px; height: 41px; background-color: white;">
<p style="text-align: center;"><strong>Differential binding analysis</strong></p>
</td>
<td style="width: 466px; height: 41px; background-color: white;">
<ul>
<li>Identification and annotation of differential binding sites between samples based on previously identified ChIP-seq peaks</li>
</ul>
</td>
</tr>
<tr style="height: 33px;">
<td style="width: 466px; height: 33px; background-color: white; text-align: center;"><strong>Annotation in genomic regions</strong></td>
<td style="width: 466px; height: 33px; background-color: white;">
<ul>
<li>Annotation of ChIP-seq peaks with genomic regions: introns, exons, promoters, 1-to-5 kb upstream-TSS and intergenic regions</li>
</ul>
</td>
</tr>
<tr style="height: 26px;">
<td style="width: 466px; height: 26px; background-color: white; text-align: center;"><strong>Gene ontology termes analysis</strong></td>
<td style="width: 466px; height: 26px; background-color: white;">
<ul>
<li>Enrichment analysis on gene sets. Gene Ontology terms that are overrepresented in bound regions or differentially bound regions may indicate the underlying biological processes involved</li>
</ul>
</td>
</tr>
<tr style="height: 56px;">
<td style="width: 466px; height: 56px; background-color: white; text-align: center;"><strong>Pathway analysis</strong></td>
<td style="width: 466px; height: 56px; background-color: white;">
<ul>
<li>Identify biochemical pathways in which genes associated with bound regions or differentially bound regions may be overrepresented</li>
</ul>
</td>
</tr>
<tr style="height: 14px;">
<td style="width: 466px; height: 14px; background-color: white; text-align: center;"><strong>Visualization of specific genomic regions</strong></td>
<td style="width: 466px; height: 14px; background-color: white;">
<ul>
<li>Visualization of results (i.e. sequencing data, peaks) at specific genomic regions (e.g. genes, promoters) in publication-ready images</li>
</ul>
</td>
</tr>
</tbody>
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'slug' => 'service-chip-seq',
'meta_title' => 'Chromatin Immunoprecipitation Sequencing (ChIP-Seq) Services | Diagenode',
'meta_keywords' => 'ChIP-seq services,Chromatin shearing, Immunoprecipitation,Library Preparation ',
'meta_description' => 'Diagenode offers end-to-end or customized ChIP-seq service including wet lab and bioinformatic services. Collaborative and customized project design to meet your needs. Dedicated in-house expert.',
'modified' => '2024-02-29 13:30:50',
'created' => '2015-08-26 17:17:38',
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(int) 2 => array(
'id' => '2903',
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'name' => 'Total RNA-seq Service',
'description' => '<div class="extra-spaced">
<p>Exploring the whole transcriptome allows to gain insight of potential transcriptional and regulatory network mechanisms. With <b>Total RNA-seq </b>services, we will sequence the whole transcriptome and record the complete set of RNA transcripts, including mRNAs and long non-coding RNAs, present in a biological sample under specific circumstances. This approach is optimal for finding biomarkers from known transcripts and discover new RNA features.</p>
<p>Our Epigenomics Profiling Services assure a fully integrated service-workflow for generation of RNA-seq libraries, multiplexed sequencing and data analysis. Serviced library preparation can be performed with an optional rRNA depletion step to enable cost-effective sequencing of RNA samples.</p>
</div>
<h2>High discovery power with total RNA-seq</h2>
<ul class="square">
<li>Detection of both coding and non-coding RNAs with optional rRNA depletion</li>
<li>Recognition of long coding RNAs involved in chromatin remodeling and transcriptional/post-transcriptional regulation</li>
<li>Investigation of the structure of genes, their splicing patterns and other post transcriptional modifications</li>
<li>Suitable for a broad range of input amounts</li>
<li>Compatible with FFPE samples</li>
<li>Fast turnaround time (from 5 to 6 weeks)</li>
</ul>
<p><span><i class="fa fa-arrow-circle-right"></i> </span><a href="https://www.diagenode.com/en/categories/rna-seq-category">See our other RNA-seq Profiling Services</a></p>',
'label1' => 'Sample Requirements',
'info1' => '<div class="extra-spaced">
<ul>
<li><strong>Project size</strong>: minimum of 24 samples</li>
<li><strong>Sample type</strong>: total isolated RNA</li>
<li><strong>Required quantities</strong>: minimum 5 ng of total RNA (Human, Mouse, Rat) or 100 ng (Plant)</li>
<li><strong>Shipment conditions</strong>: shipped in 1.5 mL or 0.5 mL tubes on dry ice</li>
</ul>
</div>',
'label2' => 'Services Workflow',
'info2' => '<center><img alt="Total RNA-seq Service" src="https://www.diagenode.com/img/product/services/ToatlRNA-seq_Workflow.png" /></center>
<div class="extra-spaced">
<h3 class="green">What our service includes</h3>
<ol>
<li><strong>RNA quality control</strong></li>
<ul>
<li>Determination of RIN value (RNA integration number)</li>
<li>Measurement of RNA concentration</li>
</ul>
<li><strong>Library preparation</strong></li>
<ul>
<li>Optional rRNA depletion</li>
<li>Stranded library construction</li>
<li>Quality control of libraries prior to sequencing</li>
</ul>
<li><strong>Sequencing on Illumina platforms</strong></li>
<ul>
<li>50 million raw reads per sample</li>
</ul>
<li><strong>Data analysis</strong> (optional for additional fee)</li>
<ul>
<li>Standard bioinformatic analysis</li>
<li>Advanced bioinformatic analysis</li>
<li>Data delivery of raw data and all generated files through fast and secure file transfer or hard drive upon request</li>
</ul>
</ol>
</div>',
'label3' => 'Bioinformatics Analysis',
'info3' => '<table style="padding: 40px;">
<tbody>
<tr>
<td>
<h4 class="text-center"><strong>Standard bioinformatic analysis</strong><br /> (optional for additional fee)</h4>
</td>
<td>
<h4 class="text-center"><strong>Advanced bioinformatic analysis</strong><br /> (optional for additional fee)</h4>
</td>
</tr>
<tr>
<td style="vertical-align: top; padding-left: 20px;">
<ul>
<li>Demultiplexing, read quality control, trimming and filtering</li>
<li>Alignment to reference genome</li>
<li>Quantification of coding and non-coding RNA biotypes with specialized quantification tool MGCount (<a href="https://doi.org/10.1186/s12859-021-04544-3">software developed by Diagenode</a>)</li>
</ul>
<br />
<p><em>Provided files:</em></p>
<ul>
<li>Report with sequencing statistics</li>
<li>Raw data in FASTQ format</li>
<li>FastQC report</li>
<li>Alignment in BAM format</li>
<li>Un-normalized read counts</li>
</ul>
</td>
<td style="vertical-align: top;">
<ul>
<li>Differential expression analysis</li>
<li>Gene ontology terms analysis</li>
<li>Pathway analysis</li>
<li>Alternative splicing analysis</li>
<li>Novel transcript identification</li>
</ul>
</td>
</tr>
</tbody>
</table>
<p></p>',
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'meta_title' => 'Total RNA-seq Service - Whole Transcriptome Analysis | Diagenode',
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'meta_description' => 'Total RNA-seq examines the entire transcriptome in an unbiased fashion. The method captures both coding and non-coding RNA transcripts and quantifies gene expression heterogeneity',
'modified' => '2022-03-04 15:26:01',
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(int) 0 => array(
'id' => '72',
'position' => '2',
'parent_id' => '121',
'name' => 'Chromatin Profiling Services',
'description' => '<div class="row">
<div class="small-12 medium-12 large-12 columns"><center></center></div>
</div>
<div class="row">
<div class="small-12 medium-4 large-4 columns">
<div class="panel"><center><img src="http://www.diagenode.com/img/categories/services/chip-workflow.png" alt="Chromatin-Immunoprecipitation-Diagenode" /></center>
<p>Chromatin consists of DNA, histones and non-histone proteins. Understanding the roles of histones and transcription factors is critical in understanding the regulation of gene expression.</p>
<p>Using ChIP-seq analysis, it is possible to profile histone modifications and transcription factor binding genome-wide to elucidate control of gene expression in disease or in response to a drug treatment. Diagenode’s Epigenomic Profiling Services offer a wide variety of chromatin analysis options through ChIP-seq and ATAC-seq.</p>
</div>
<center><img src="https://www.diagenode.com/img/logo-scientist-registered-supplier.png" /></center></div>
<div class="small-12 medium-8 large-8 columns"><center><img src="http://www.diagenode.com/img/applications/histone-marks-helice.png" alt="Histone-Antibodies-Diagenode" /></center><br href="../p/service-chip-seq" />
<h3><a href="../p/atac-seq-service">ATAC-seq: open chromatin regions</a></h3>
<p>Study genome-wide chromatin accessibility. Identify open chromatin sites and active regulatory elements such as promoter, enhancers, and insulators.</p>
<ul>
<ul>
<li>Nucleosome positioning</li>
</ul>
</ul>
<h3><a href="../p/service-chip-seq">ChIP-seq histone modifications</a></h3>
<p>Post-translational modification of histones is implicated in the regulation of gene expression, necessitating the study of regulatory elements and their interacting proteins like active promoter and enhancer analysis. Profile genome-wide histone modifications by ChIP-seq analysis to understand transcriptional regulation</p>
<ul>
<li><strong>Active promoter profiling</strong>: H3K4me3 enrichment</li>
<li><strong>Inactive promoter profiling</strong>: H3K27me3 enrichment</li>
<li><strong>Enhancer profiling</strong>: H3K4me1 and H3K27ac enrichment in regulatory regions</li>
<li><strong>Active gene body</strong>: H3K36me3</li>
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<h3><a href="../p/service-chip-seq">ChIP-seq Transcription Factors</a></h3>
<p>Explore the effects of transcription factor binding through ChIP-seq analysis of a multitude of TFs including:</p>
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<li>CTCF: transcriptional repressor and insulator activity</li>
<li>p300/CBP: histone acetyltransferase</li>
<li>Pol II, p53, and more</li>
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<p>Our Epigenomics Profiling Services assure the sample preparation expertise and quality data that you seek. We provide epigenome-wide analyses for understanding epigenetic mechanisms, epigenetics-related drug discovery, transgenerational epigenetics studies, epigenetic biomarker identification (including epigenomic cancer biomarkers), and functional epigenomics. Diagenode offers expert epigenomics services that you can trust for chromatin, DNA, and RNA analysis. </p>
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<h3><span class="green">Chromatin</span> analysis</h3>
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<li>Enhancer analysis</li>
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<li>ChIP-seq Cas9 off-target</li>
<li>Customized NGS service</li>
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<p><i class="fa fa-arrow-circle-right"></i> <a href="../categories/chip-seq-service">Learn more</a></p>
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<h3><span class="darkgrey">DNA methylation</span> analysis</h3>
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<li>Whole genome bisulfite sequencing (WGBS)</li>
<li>Targeted methylation</li>
<li>MeDIP-seq/hMeDIP-seq</li>
<li>Infinium MethylationEPIC array </li>
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<p></p>
<p><i class="fa fa-arrow-circle-right"></i> <a href="../categories/dna-methylation-profiling-services">Learn more</a></p>
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<li>mRNA<span style="display: inline !important; float: none; background-color: #f8f8f8; color: #333333; font-family: Helvetica,Arial,sans-serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration: none; text-indent: 0px; text-transform: none; -webkit-text-stroke-width: 0px; white-space: normal; word-spacing: 0px;"> analysis</span></li>
<li>Small non-coding RNA analysis</li>
<li><b></b>Whole transcriptome analysis<br /><br /><br /><br /><br /></li>
</ul>
<p><i class="fa fa-arrow-circle-right"></i> <a href="../categories/rna-seq-category">Learn more</a></p>
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<h2>Why Diagenode</h2>
<ul>
<li><strong>Expertise and trust</strong>: Recognized epigenetics leader, official partner of <a href="http://www.blueprint-epigenome.eu/"><g class="gr_ gr_45 gr-alert gr_spell gr_inline_cards gr_disable_anim_appear ContextualSpelling ins-del multiReplace" id="45" data-gr-id="45">BLUEPRINT</g></a>, <a href="http://ihec-epigenomes.org/">IHEC</a> <g class="gr_ gr_46 gr-alert gr_gramm gr_inline_cards gr_disable_anim_appear Punctuation only-ins replaceWithoutSep" id="46" data-gr-id="46">and</g> <a href="https://www.faang.org/">FAANG</a></li>
<li><strong>Innovative technology</strong>: Utilization of the signature Bioruptor<sup>®</sup> sonication device for optimal chromatin and DNA shearing and the IP-Star<sup>®</sup> Automation device give reproducible and reliable optimization and results</li>
<li><strong>Quality</strong>: Multiple QC steps in all workflows and validated antibodies plus reagents deliver superior data</li>
<li><strong>Flexibility</strong>: Extensive range of sample species and sample origins</li>
<li><strong>Experience</strong> in epigenomics profiling for a wide range of applications and fields of interest</li>
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<h2>12 years of expertise and trust in epigenetics</h2>
<ul>
<li><strong>End-to-end</strong> epigenetic service</li>
<li><strong>Collaborative</strong> and customized project design</li>
<li>Dedicated <strong>in-house expert</strong> for your project</li>
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<h6 style="height:60px">Bioinformatics Data Mining Service</h6>
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<div class="small-12 columns">
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<span class="success label" style="">G02010000</span>
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<h3>Get a quote</h3><p class="lead">You are about to request a quote for <strong>our epigenomics services</strong>. Fill out the form below and we will be in touch with you very soon.</p><p><small>All <span style="font-size:16px;color:red;">*</span> fields are mandatory</small></p>
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<div class="row collapse">
<h2>Service Information</h2>
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<div class="small-12 large-12 columns">
<h4>Which services are you interested in?</h4>
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<div class="small-12 large-12 columns">
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<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="WGBS" id="QuoteEpigenomicsServiceWGBS" /><label for="QuoteEpigenomicsServiceWGBS">WGBS</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="MeDIP-seq" id="QuoteEpigenomicsServiceMeDIPSeq" /><label for="QuoteEpigenomicsServiceMeDIPSeq">MeDIP-seq</label></div>
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<div class="small-12 medium-12 large-3 columns">
<span class="prefix">Sample species</span>
</div>
<div class="small-12 medium-12 large-9 columns">
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<div class="small-12 medium-12 large-6 columns">
<span class="prefix">Total number of samples (including replicates)</span>
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<div class="small-12 medium-12 large-6 columns">
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<h2>Contact Information</h2>
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<span class="prefix">Company <sup style="font-size:16px;color:red;">*</sup></span>
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<span class="prefix">Phone number</span>
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<option value="DZ">Algeria</option>
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<div class="small-12 columns" >
<h6 style="height:60px">ChIP-seq/ChIP-qPCR Profiling service</h6>
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</li>
<li>
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<div class="small-12 columns">
<a href="/cn/p/rna-seq-services"><img src="/img/grey-logo.jpg" alt="default alt" class="th"/></a> </div>
<div class="small-12 columns">
<div class="small-6 columns" style="padding-left:0px;padding-right:0px;margin-top:-6px;margin-left:-1px">
<span class="success label" style="">G02030000</span>
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<h3>Get a quote</h3><p class="lead">You are about to request a quote for <strong>RNA-seq services</strong>. Fill out the form below and we will be in touch with you very soon.</p><p><small>All <span style="font-size:16px;color:red;">*</span> fields are mandatory</small></p>
</div>
</div>
<form action="/cn/quotes/quote?id=2903" id="Quote-2903" class="quote" method="post" accept-charset="utf-8"><div style="display:none;"><input type="hidden" name="_method" value="POST"/></div><input type="hidden" name="data[Quote][product_id]" value="2903" id="QuoteProductId"/><input type="hidden" name="data[Quote][formLoaded6tY4bPYk]" value="MTVnNFUvbDRvb2wwdW9iMVMrRjU3UT09" id="QuoteFormLoaded6tY4bPYk"/><input type="hidden" name="data[Quote][product_rfq_tag]" value="rna-seq-services" id="QuoteProductRfqTag"/><input type="hidden" name="data[Quote][source_quote]" value="modal quote" id="QuoteSourceQuote"/>
<div class="row collapse">
<h2>Your project</h2>
</div>
<div class="small-12 large-12 columns">
<h4>Which services are you interested in?</h4>
</div>
<div class="small-12 large-12 columns">
<input type="hidden" name="data[Quote][rna_seq_service]" value="" id="QuoteRnaSeqService"/>
<div class="checkbox"><input type="checkbox" name="data[Quote][rna_seq_service][]" value="High-throughput 3mRNA-seq" id="QuoteRnaSeqServiceHighThroughput3mRNASeq" /><label for="QuoteRnaSeqServiceHighThroughput3mRNASeq">High-throughput 3mRNA-seq</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][rna_seq_service][]" value="mRNA-seq" id="QuoteRnaSeqServiceMRNASeq" /><label for="QuoteRnaSeqServiceMRNASeq">mRNA-seq</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][rna_seq_service][]" value="Small RNA-seq" id="QuoteRnaSeqServiceSmallRNASeq" /><label for="QuoteRnaSeqServiceSmallRNASeq">Small RNA-seq</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][rna_seq_service][]" value="Total RNA-seq" id="QuoteRnaSeqServiceTotalRNASeq" /><label for="QuoteRnaSeqServiceTotalRNASeq">Total RNA-seq</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][rna_seq_service][]" value="Bioinformatics" id="QuoteRnaSeqServiceBioinformatics" /><label for="QuoteRnaSeqServiceBioinformatics">Bioinformatics</label></div>
</div>
<div class="row collapse">
<div class="small-12 medium-12 large-3 columns">
<span class="prefix">Sample species</span>
</div>
<div class="small-12 medium-12 large-9 columns">
<input name="data[Quote][sample_species]" maxlength="510" type="text" id="QuoteSampleSpecies"/> </div>
</div>
<div class="row collapse">
<div class="small-12 medium-12 large-6 columns">
<span class="prefix">Total number of samples (including replicates)</span>
</div>
<div class="small-12 medium-12 large-6 columns">
<input name="data[Quote][number_samples]" maxlength="255" type="text" id="QuoteNumberSamples"/> </div>
</div>
<div class="row collapse">
<h2>Contact Information</h2>
<div class="small-3 large-2 columns">
<span class="prefix">First name <sup style="font-size:16px;color:red;">*</sup></span>
</div>
<div class="small-9 large-10 columns">
<input name="data[Quote][first_name]" placeholder="john" maxlength="255" type="text" id="QuoteFirstName" required="required"/> </div>
</div>
<div class="row collapse">
<div class="small-3 large-2 columns">
<span class="prefix">Last name <sup style="font-size:16px;color:red;">*</sup></span>
</div>
<div class="small-9 large-10 columns">
<input name="data[Quote][last_name]" placeholder="doe" maxlength="255" type="text" id="QuoteLastName" required="required"/> </div>
</div>
<div class="row collapse">
<div class="small-3 large-2 columns">
<span class="prefix">Company <sup style="font-size:16px;color:red;">*</sup></span>
</div>
<div class="small-9 large-10 columns">
<input name="data[Quote][company]" placeholder="Organisation / Institute" maxlength="255" type="text" id="QuoteCompany" required="required"/> </div>
</div>
<div class="row collapse">
<div class="small-3 large-2 columns">
<span class="prefix">Phone number</span>
</div>
<div class="small-9 large-10 columns">
<input name="data[Quote][phone_number]" placeholder="+1 862 209-4680" maxlength="255" type="text" id="QuotePhoneNumber"/> </div>
</div>
<div class="row collapse">
<div class="small-3 large-2 columns">
<span class="prefix">City</span>
</div>
<div class="small-9 large-10 columns">
<input name="data[Quote][city]" placeholder="Denville" maxlength="255" type="text" id="QuoteCity"/> </div>
</div>
<div class="row collapse">
<div class="small-3 large-2 columns">
<span class="prefix">Country <sup style="font-size:16px;color:red;">*</sup></span>
</div>
<div class="small-9 large-10 columns">
<select name="data[Quote][country]" required="required" class="triggers" id="country_selector_quote-2903">
<option value="">-- select a country --</option>
<option value="AF">Afghanistan</option>
<option value="AX">Åland Islands</option>
<option value="AL">Albania</option>
<option value="DZ">Algeria</option>
<option value="AS">American Samoa</option>
<option value="AD">Andorra</option>
<option value="AO">Angola</option>
<option value="AI">Anguilla</option>
<option value="AQ">Antarctica</option>
<option value="AG">Antigua and Barbuda</option>
<option value="AR">Argentina</option>
<option value="AM">Armenia</option>
<option value="AW">Aruba</option>
<option value="AU">Australia</option>
<option value="AT">Austria</option>
<option value="AZ">Azerbaijan</option>
<option value="BS">Bahamas</option>
<option value="BH">Bahrain</option>
<option value="BD">Bangladesh</option>
<option value="BB">Barbados</option>
<option value="BY">Belarus</option>
<option value="BE">Belgium</option>
<option value="BZ">Belize</option>
<option value="BJ">Benin</option>
<option value="BM">Bermuda</option>
<option value="BT">Bhutan</option>
<option value="BO">Bolivia</option>
<option value="BQ">Bonaire, Sint Eustatius and Saba</option>
<option value="BA">Bosnia and Herzegovina</option>
<option value="BW">Botswana</option>
<option value="BV">Bouvet Island</option>
<option value="BR">Brazil</option>
<option value="IO">British Indian Ocean Territory</option>
<option value="BN">Brunei Darussalam</option>
<option value="BG">Bulgaria</option>
<option value="BF">Burkina Faso</option>
<option value="BI">Burundi</option>
<option value="KH">Cambodia</option>
<option value="CM">Cameroon</option>
<option value="CA">Canada</option>
<option value="CV">Cape Verde</option>
<option value="KY">Cayman Islands</option>
<option value="CF">Central African Republic</option>
<option value="TD">Chad</option>
<option value="CL">Chile</option>
<option value="CN">China</option>
<option value="CX">Christmas Island</option>
<option value="CC">Cocos (Keeling) Islands</option>
<option value="CO">Colombia</option>
<option value="KM">Comoros</option>
<option value="CG">Congo</option>
<option value="CD">Congo, The Democratic Republic of the</option>
<option value="CK">Cook Islands</option>
<option value="CR">Costa Rica</option>
<option value="CI">Côte d'Ivoire</option>
<option value="HR">Croatia</option>
<option value="CU">Cuba</option>
<option value="CW">Curaçao</option>
<option value="CY">Cyprus</option>
<option value="CZ">Czech Republic</option>
<option value="DK">Denmark</option>
<option value="DJ">Djibouti</option>
<option value="DM">Dominica</option>
<option value="DO">Dominican Republic</option>
<option value="EC">Ecuador</option>
<option value="EG">Egypt</option>
<option value="SV">El Salvador</option>
<option value="GQ">Equatorial Guinea</option>
<option value="ER">Eritrea</option>
<option value="EE">Estonia</option>
<option value="ET">Ethiopia</option>
<option value="FK">Falkland Islands (Malvinas)</option>
<option value="FO">Faroe Islands</option>
<option value="FJ">Fiji</option>
<option value="FI">Finland</option>
<option value="FR">France</option>
<option value="GF">French Guiana</option>
<option value="PF">French Polynesia</option>
<option value="TF">French Southern Territories</option>
<option value="GA">Gabon</option>
<option value="GM">Gambia</option>
<option value="GE">Georgia</option>
<option value="DE">Germany</option>
<option value="GH">Ghana</option>
<option value="GI">Gibraltar</option>
<option value="GR">Greece</option>
<option value="GL">Greenland</option>
<option value="GD">Grenada</option>
<option value="GP">Guadeloupe</option>
<option value="GU">Guam</option>
<option value="GT">Guatemala</option>
<option value="GG">Guernsey</option>
<option value="GN">Guinea</option>
<option value="GW">Guinea-Bissau</option>
<option value="GY">Guyana</option>
<option value="HT">Haiti</option>
<option value="HM">Heard Island and McDonald Islands</option>
<option value="VA">Holy See (Vatican City State)</option>
<option value="HN">Honduras</option>
<option value="HK">Hong Kong</option>
<option value="HU">Hungary</option>
<option value="IS">Iceland</option>
<option value="IN">India</option>
<option value="ID">Indonesia</option>
<option value="IR">Iran, Islamic Republic of</option>
<option value="IQ">Iraq</option>
<option value="IE">Ireland</option>
<option value="IM">Isle of Man</option>
<option value="IL">Israel</option>
<option value="IT">Italy</option>
<option value="JM">Jamaica</option>
<option value="JP">Japan</option>
<option value="JE">Jersey</option>
<option value="JO">Jordan</option>
<option value="KZ">Kazakhstan</option>
<option value="KE">Kenya</option>
<option value="KI">Kiribati</option>
<option value="KP">Korea, Democratic People's Republic of</option>
<option value="KR">Korea, Republic of</option>
<option value="KW">Kuwait</option>
<option value="KG">Kyrgyzstan</option>
<option value="LA">Lao People's Democratic Republic</option>
<option value="LV">Latvia</option>
<option value="LB">Lebanon</option>
<option value="LS">Lesotho</option>
<option value="LR">Liberia</option>
<option value="LY">Libya</option>
<option value="LI">Liechtenstein</option>
<option value="LT">Lithuania</option>
<option value="LU">Luxembourg</option>
<option value="MO">Macao</option>
<option value="MK">Macedonia, Republic of</option>
<option value="MG">Madagascar</option>
<option value="MW">Malawi</option>
<option value="MY">Malaysia</option>
<option value="MV">Maldives</option>
<option value="ML">Mali</option>
<option value="MT">Malta</option>
<option value="MH">Marshall Islands</option>
<option value="MQ">Martinique</option>
<option value="MR">Mauritania</option>
<option value="MU">Mauritius</option>
<option value="YT">Mayotte</option>
<option value="MX">Mexico</option>
<option value="FM">Micronesia, Federated States of</option>
<option value="MD">Moldova</option>
<option value="MC">Monaco</option>
<option value="MN">Mongolia</option>
<option value="ME">Montenegro</option>
<option value="MS">Montserrat</option>
<option value="MA">Morocco</option>
<option value="MZ">Mozambique</option>
<option value="MM">Myanmar</option>
<option value="NA">Namibia</option>
<option value="NR">Nauru</option>
<option value="NP">Nepal</option>
<option value="NL">Netherlands</option>
<option value="NC">New Caledonia</option>
<option value="NZ">New Zealand</option>
<option value="NI">Nicaragua</option>
<option value="NE">Niger</option>
<option value="NG">Nigeria</option>
<option value="NU">Niue</option>
<option value="NF">Norfolk Island</option>
<option value="MP">Northern Mariana Islands</option>
<option value="NO">Norway</option>
<option value="OM">Oman</option>
<option value="PK">Pakistan</option>
<option value="PW">Palau</option>
<option value="PS">Palestine, State of</option>
<option value="PA">Panama</option>
<option value="PG">Papua New Guinea</option>
<option value="PY">Paraguay</option>
<option value="PE">Peru</option>
<option value="PH">Philippines</option>
<option value="PN">Pitcairn</option>
<option value="PL">Poland</option>
<option value="PT">Portugal</option>
<option value="PR">Puerto Rico</option>
<option value="QA">Qatar</option>
<option value="RE">Réunion</option>
<option value="RO">Romania</option>
<option value="RU">Russian Federation</option>
<option value="RW">Rwanda</option>
<option value="BL">Saint Barthélemy</option>
<option value="SH">Saint Helena, Ascension and Tristan da Cunha</option>
<option value="KN">Saint Kitts and Nevis</option>
<option value="LC">Saint Lucia</option>
<option value="MF">Saint Martin (French part)</option>
<option value="PM">Saint Pierre and Miquelon</option>
<option value="VC">Saint Vincent and the Grenadines</option>
<option value="WS">Samoa</option>
<option value="SM">San Marino</option>
<option value="ST">Sao Tome and Principe</option>
<option value="SA">Saudi Arabia</option>
<option value="SN">Senegal</option>
<option value="RS">Serbia</option>
<option value="SC">Seychelles</option>
<option value="SL">Sierra Leone</option>
<option value="SG">Singapore</option>
<option value="SX">Sint Maarten (Dutch part)</option>
<option value="SK">Slovakia</option>
<option value="SI">Slovenia</option>
<option value="SB">Solomon Islands</option>
<option value="SO">Somalia</option>
<option value="ZA">South Africa</option>
<option value="GS">South Georgia and the South Sandwich Islands</option>
<option value="ES">Spain</option>
<option value="LK">Sri Lanka</option>
<option value="SD">Sudan</option>
<option value="SR">Suriname</option>
<option value="SS">South Sudan</option>
<option value="SJ">Svalbard and Jan Mayen</option>
<option value="SZ">Swaziland</option>
<option value="SE">Sweden</option>
<option value="CH">Switzerland</option>
<option value="SY">Syrian Arab Republic</option>
<option value="TW">Taiwan</option>
<option value="TJ">Tajikistan</option>
<option value="TZ">Tanzania</option>
<option value="TH">Thailand</option>
<option value="TL">Timor-Leste</option>
<option value="TG">Togo</option>
<option value="TK">Tokelau</option>
<option value="TO">Tonga</option>
<option value="TT">Trinidad and Tobago</option>
<option value="TN">Tunisia</option>
<option value="TR">Turkey</option>
<option value="TM">Turkmenistan</option>
<option value="TC">Turks and Caicos Islands</option>
<option value="TV">Tuvalu</option>
<option value="UG">Uganda</option>
<option value="UA">Ukraine</option>
<option value="AE">United Arab Emirates</option>
<option value="GB">United Kingdom</option>
<option value="US" selected="selected">United States</option>
<option value="UM">United States Minor Outlying Islands</option>
<option value="UY">Uruguay</option>
<option value="UZ">Uzbekistan</option>
<option value="VU">Vanuatu</option>
<option value="VE">Venezuela</option>
<option value="VN">Viet Nam</option>
<option value="VG">Virgin Islands, British</option>
<option value="VI">Virgin Islands, U.S.</option>
<option value="WF">Wallis and Futuna</option>
<option value="EH">Western Sahara</option>
<option value="YE">Yemen</option>
<option value="ZM">Zambia</option>
<option value="ZW">Zimbabwe</option>
</select><script>
$('#country_selector_quote-2903').selectize();
</script><br />
</div>
</div>
<div class="row collapse">
<div class="small-3 large-2 columns">
<span class="prefix">State</span>
</div>
<div class="small-9 large-10 columns">
<input name="data[Quote][state]" id="state-2903" maxlength="3" type="text"/><br />
</div>
</div>
<div class="row collapse">
<div class="small-3 large-2 columns">
<span class="prefix">Email <sup style="font-size:16px;color:red;">*</sup></span>
</div>
<div class="small-9 large-10 columns">
<input name="data[Quote][email]" placeholder="email@address.com" maxlength="255" type="email" id="QuoteEmail" required="required"/> </div>
</div>
<div class="row collapse" id="email_v">
<div class="small-3 large-2 columns">
<span class="prefix">Email verification<sup style="font-size:16px;color:red;">*</sup></span>
</div>
<div class="small-9 large-10 columns">
<input name="data[Quote][email_v]" autocomplete="nope" type="text" id="QuoteEmailV"/> </div>
</div>
<div class="row collapse">
<div class="small-3 large-2 columns">
<span class="prefix">Comment</span>
</div>
<div class="small-9 large-10 columns">
<textarea name="data[Quote][comment]" placeholder="Additional comments" cols="30" rows="6" id="QuoteComment"></textarea> </div>
</div>
<!------------SERVICES PARTICULAR FORM START---------------->
<!------------DATA TO POPULATE REGARDING SPECIFIC SERVICES----->
<div class="row collapse">
<div class="small-3 large-2 columns">
</div>
<div class="small-9 large-10 columns">
<div class="recaptcha"><div id="recaptcha662896ec352a9"></div></div> </div>
</div>
<br />
<div class="row collapse">
<div class="small-3 large-2 columns">
</div>
<div class="small-9 large-10 columns">
<button id="submit_btn-2903" class="alert button expand" form="Quote-2903" type="submit">Contact me</button> </div>
</div>
</form><script>
var pardotFormHandlerURL = 'https://go.diagenode.com/l/928883/2022-10-10/36b1c';
function postToPardot(formAction, id) {
$('#pardot-form-handler').load(function(){
$('#Quote-' + id).attr('action', formAction);
$('#Quote-' + id).submit();
});
$('#pardot-form-handler').attr('src', pardotFormHandlerURL + '?' + $('#Quote-' + id).serialize());
}
$(document).ready(function() {
$('body').append('<iframe id="pardot-form-handler" height="0" width="0" style="position:absolute; left:-100000px; top:-100000px" src="javascript:false;"></iframe>');
$('#Quote-2903').attr('action','javascript:postToPardot(\'' + $('#Quote-2903').attr('action') + '\', 2903)');
});
$("#Quote-2903 #submit_btn-2903").click(function (e) {
if($(this).closest('form')[0].checkValidity()){
e.preventDefault();
//disable the submit button
$("#Quote-2903 #submit_btn-2903").attr("disabled", true);
$("#Quote-2903 #submit_btn-2903").html("Processing...");
//submit the form
$("#Quote-2903").submit();
}
})
</script>
<script>
if ($("#Quote-2903 #country_selector_quote-2903.selectized").val() == 'US') {
var val = $("#state-2903").val();
$("#Quote-2903 #state-2903").replaceWith('<select name="data[Quote][state]" id="state-2903" required><option disabled selected value> -- select a state -- </option><option value="AL">Alabama (AL)</option><option value="AK">Alaska (AK)</option><option value="AZ">Arizona (AZ)</option><option value="AR">Arkansas (AR)</option><option value="CA">California (CA)</option><option value="CO">Colorado (CO)</option><option value="CT">Connecticut (CT)</option><option value="DE">Delaware (DE)</option><option value="FL">Florida (FL)</option><option value="GA">Georgia (GA)</option><option value="HI">Hawaii (HI)</option><option value="ID">Idaho (ID)</option><option value="IL">Illinois (IL)</option><option value="IN">Indiana (IN)</option><option value="IA">Iowa (IA)</option><option value="KS">Kansas (KS)</option><option value="KY">Kentucky (KY)</option><option value="LA">Louisiana (LA)</option><option value="ME">Maine (ME)</option><option value="MD">Maryland (MD)</option><option value="MA">Massachusetts (MA)</option><option value="MI">Michigan (MI)</option><option value="MN">Minnesota (MN)</option><option value="MS">Mississippi (MS)</option><option value="MO">Missouri (MO)</option><option value="MT">Montana (MT)</option><option value="NE">Nebraska (NE)</option><option value="NV">Nevada (NV)</option><option value="NH">New Hampshire (NH)</option><option value="NJ">New Jersey (NJ)</option><option value="NM">New Mexico (NM)</option><option value="NY">New York (NY)</option><option value="NC">North Carolina (NC)</option><option value="ND">North Dakota (ND)</option><option value="OH">Ohio (OH)</option><option value="OK">Oklahoma (OK)</option><option value="OR">Oregon (OR)</option><option value="PA">Pennsylvania (PA)</option><option value="PR">Puerto Rico (PR)</option><option value="RI">Rhode Island (RI)</option><option value="SC">South Carolina (SC)</option><option value="SD">South Dakota (SD)</option><option value="TN">Tennessee (TN)</option><option value="TX">Texas (TX)</option><option value="UT">Utah (UT)</option><option value="VT">Vermont (VT)</option><option value="VA">Virginia (VA)</option><option value="WA">Washington (WA)</option><option value="WV">West Virginia (WV)</option><option value="WI">Wisconsin (WI)</option><option value="WY">Wyoming (WY)</option><option value="DC">District of Columbia (DC)</option><option value="AS">American Samoa (AS)</option><option value="GU">Guam (GU)</option><option value="MP">Northern Mariana Islands (MP)</option><option value="PR">Puerto Rico (PR)</option><option value="UM">United States Minor Outlying Islands (UM)</option><option value="VI">Virgin Islands (VI)</option></select>');
if (val.length == 2) {
$("#state-2903").val(val);
}
$("#state-2903").parent().parent().show();
} else if ($("#Quote-2903 #country_selector_quote-2903.selectized").val() == 'CA') {
var val = $("#state-2903").val();
$("#Quote-2903 #state-2903").replaceWith('<select name="data[Quote][state]" id="state-2903" required><option disabled selected value> -- select a state -- </option><option value="AB">Alberta (AB)</option><option value="BC">British Columbia (BC)</option><option value="MB">Manitoba (MB)</option><option value="NB">New Brunswick (NB)</option><option value="NL">Newfoundland and Labrador (NL)</option><option value="NS">Nova Scotia (NS)</option><option value="ON">Ontario (ON)</option><option value="PE">Prince Edward Island (PE)</option><option value="QC">Quebec (QC)</option><option value="SK">Saskatchewan (SK)</option></select>');
if (val.length == 2) {
$("#state-2903").val(val);
}
$("#state-2903").parent().parent().show();
} else if ($("#Quote-2903 #country_selector_quote-2903.selectized").val() == 'DE') {
var val = $("#state-2903").val();
$("#Quote-2903 #state-2903").replaceWith('<select name="data[Quote][state]" id="state-2903" required><option disabled selected value> -- select a state -- </option><option value="BW">Baden-Württemberg (BW)</option><option value="BY">Bayern (BY)</option><option value="BE">Berlin (BE)</option><option value="BB">Brandeburg (BB)</option><option value="HB">Bremen (HB)</option><option value="HH">Hamburg (HH)</option><option value="HE">Hessen (HE)</option><option value="MV">Mecklenburg-Vorpommern (MV)</option><option value="NI">Niedersachsen (NI)</option><option value="NW">Nordrhein-Westfalen (NW)</option><option value="RP">Rheinland-Pfalz (RP)</option><option value="SL">Saarland (SL)</option><option value="SN">Sachsen (SN)</option><option value ="SA">Sachsen-Anhalt (SA)</option><option value="SH">Schleswig-Holstein (SH)</option><option value="TH">Thüringen</option></select>');
if (val.length == 2) {
$("#state-2903").val(val);
}
$("#state-2903").parent().parent().show();
} else {
$("#Quote-2903 #state-2903").parent().parent().hide();
$("#Quote-2903 #state-2903").replaceWith('<input name="data[Quote][state]" maxlength="255" type="text" id="state-2903" value="">');
}
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<h6 style="height:60px">RNA-seq services</h6>
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<p>Exploring the whole transcriptome allows to gain insight of potential transcriptional and regulatory network mechanisms. With <b>Total RNA-seq </b>services, we will sequence the whole transcriptome and record the complete set of RNA transcripts, including mRNAs and long non-coding RNAs, present in a biological sample under specific circumstances. This approach is optimal for finding biomarkers from known transcripts and discover new RNA features.</p>
<p>Our Epigenomics Profiling Services assure a fully integrated service-workflow for generation of RNA-seq libraries, multiplexed sequencing and data analysis. Serviced library preparation can be performed with an optional rRNA depletion step to enable cost-effective sequencing of RNA samples.</p>
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<h2>High discovery power with total RNA-seq</h2>
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<p><span><i class="fa fa-arrow-circle-right"></i> </span><a href="https://www.diagenode.com/en/categories/rna-seq-category">See our other RNA-seq Profiling Services</a></p>',
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<li><strong>Required quantities</strong>: minimum 5 ng of total RNA (Human, Mouse, Rat) or 100 ng (Plant)</li>
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<li>Measurement of RNA concentration</li>
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<h4 class="text-center"><strong>Standard bioinformatic analysis</strong><br /> (optional for additional fee)</h4>
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<h4 class="text-center"><strong>Advanced bioinformatic analysis</strong><br /> (optional for additional fee)</h4>
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<li>Demultiplexing, read quality control, trimming and filtering</li>
<li>Alignment to reference genome</li>
<li>Quantification of coding and non-coding RNA biotypes with specialized quantification tool MGCount (<a href="https://doi.org/10.1186/s12859-021-04544-3">software developed by Diagenode</a>)</li>
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<p><em>Provided files:</em></p>
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<li>Differential expression analysis</li>
<li>Gene ontology terms analysis</li>
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'description' => '<p>ATAC-seq (<strong>A</strong>ssay for <strong>T</strong>ransposase-<strong>A</strong>ccessible <strong>C</strong>hromatin using <strong>seq</strong>uencing) allows for assessing genome-wide chromatin accessibility. The technology is based on the use of the transposase Tn5 which cuts exposed open chromatin and simultaneously ligates adapters for subsequent amplification and sequencing.<br /><br /></p>
<h4><span style="font-weight: 400;">Assess open regions of chromatin at single nucleotide resolution</span></h4>
<ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">Gain insight into gene regulation and understand open chromatin signatures</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Determine nucleosome positions at single nucleotide resolution</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Uncover transcription factor (TF) occupancy</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Benefit from comprehensive service – tagmentation, library preparation, sequencing, and analysis</span><span style="font-weight: 400;"></span></li>
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'info1' => '<h4>ATAC-seq services include:</h4>
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<td style="width: 312px;">
<p><span>Sample tagmentation</span></p>
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<li><span>Lysis</span></li>
<li><span>Tagmentation using Diagenode's Tagmentase (Tn5 transposase)</span></li>
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<p><span>Library preparation</span></p>
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<li><span>Library amplification</span></li>
<li><span>Library purification</span></li>
<li><span>QC on the ATAC-seq library (DNA concentration, analysis of library profile)</span></li>
<li><span>Library pooling</span></li>
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<p><span>Deep sequencing</span></p>
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<td style="width: 622px;">
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<li><span>Samples are sequenced on an Illumina ® platform, paired-end 2x75bp</span></li>
<li><span>100 million raw reads on average are obtained per sample when pooling 3samples/lane (Hi-seq 4000). Sequencing depth will be adjusted to project dependent criteria.</span></li>
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<p><span style="font-weight: 400;">Quality check, alignment to reference genome and identification of enriched regions (peak calling).</span></p>
<p><b>Provided files:</b></p>
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<li><span style="font-weight: 400;">Report with sequencing statistics</span></li>
<li><span style="font-weight: 400;">Raw data in FASTQ format</span></li>
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<h2>Additional analysis on request:</h2>
<h4><em>Differential <span style="font-weight: 400;">accessibility </span>analysis:</em><strong><b> </b></strong></h4>
<p><strong><span style="font-weight: 400;">Identification and annotation (human, mouse, rat, drosophila) of differential chromatin accessibility between samples.</span></strong></p>
<p><strong>Provided files:</strong></p>
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<li><span style="font-weight: 400;">Report with summary of differential accessibility analysis and plots</span></li>
<li><span style="font-weight: 400;">Files containing differentially accessibility sites or unique peaks and breakdown of those in annotated regions: introns, exons, promoters, 1-to-5 kb upstream-TSS and intergenic regions for human, mouse, rat and drosophila.</span></li>
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<h4><span style="font-weight: 400;"><i>Annotation in genomic regions</i><b>: </b></span></h4>
<p><span style="font-weight: 400;"><span style="font-weight: 400;">Annotation of ATAC-Seq peaks with genomic regions: introns, exons, promoters, 1-to-5 kb upstream-TSS and intergenic regions for human, mouse, rat and drosophila.</span></span></p>
<h4><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Gene ontology terms analysis</i><span style="font-weight: 400;">: </span></span></span></h4>
<p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Enrichment analysis on gene sets. Gene Ontology terms that are overrepresented in differentially bound regions may indicate the underlying biological processes involved. </span></span></span></p>
<h4><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Pathway analysis</i><span style="font-weight: 400;">: </span></span></span></span></h4>
<p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Identify biochemical pathways in which genes associated with differentially methylated regions (or individual differentially methylated CpGs) may be overrepresented. </span></span></span></span></p>
<h4><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Visualization of specific genomic regions:</i><span style="font-weight: 400;"> </span></span></span></span></span></h4>
<p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Visualization of results (i.e. sequencing data, peaks) at specific genomic regions (e.g. genes, promoters) in publication-ready images (human, mouse, rat). </span></span></span></span></span></p>
<h2>Additional information</h2>
<p><span style="font-weight: 400;">Generated files will be available for download during 1 month and stored for an additional period of 3 months on Diagenode’s servers. Additional long-term storage of data is available upon request. Original samples are stored at Diagenode during 12 months after project completion, but will be discarded once this time is exceeded. Return shipment of samples is available upon request. </span></p>
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'description' => '<p>ATAC-seq (<strong>A</strong>ssay for <strong>T</strong>ransposase-<strong>A</strong>ccessible <strong>C</strong>hromatin using <strong>seq</strong>uencing) allows for assessing genome-wide chromatin accessibility. The technology is based on the use of the transposase Tn5 which cuts exposed open chromatin and simultaneously ligates adapters for subsequent amplification and sequencing.<br /><br /></p>
<h4><span style="font-weight: 400;">Assess open regions of chromatin at single nucleotide resolution</span></h4>
<ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">Gain insight into gene regulation and understand open chromatin signatures</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Determine nucleosome positions at single nucleotide resolution</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Uncover transcription factor (TF) occupancy</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Benefit from comprehensive service – tagmentation, library preparation, sequencing, and analysis</span><span style="font-weight: 400;"></span></li>
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'info1' => '<h4>ATAC-seq services include:</h4>
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<p><span>Sample tagmentation</span></p>
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<li><span>Lysis</span></li>
<li><span>Tagmentation using Diagenode's Tagmentase (Tn5 transposase)</span></li>
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<li><span>Library purification</span></li>
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<li><span>Library pooling</span></li>
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<li><span>100 million raw reads on average are obtained per sample when pooling 3samples/lane (Hi-seq 4000). Sequencing depth will be adjusted to project dependent criteria.</span></li>
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<p><span style="font-weight: 400;">Quality check, alignment to reference genome and identification of enriched regions (peak calling).</span></p>
<p><b>Provided files:</b></p>
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<li><span style="font-weight: 400;">Report with sequencing statistics</span></li>
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<h2>Additional analysis on request:</h2>
<h4><em>Differential <span style="font-weight: 400;">accessibility </span>analysis:</em><strong><b> </b></strong></h4>
<p><strong><span style="font-weight: 400;">Identification and annotation (human, mouse, rat, drosophila) of differential chromatin accessibility between samples.</span></strong></p>
<p><strong>Provided files:</strong></p>
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<li><span style="font-weight: 400;">Files containing differentially accessibility sites or unique peaks and breakdown of those in annotated regions: introns, exons, promoters, 1-to-5 kb upstream-TSS and intergenic regions for human, mouse, rat and drosophila.</span></li>
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<h4><span style="font-weight: 400;"><i>Annotation in genomic regions</i><b>: </b></span></h4>
<p><span style="font-weight: 400;"><span style="font-weight: 400;">Annotation of ATAC-Seq peaks with genomic regions: introns, exons, promoters, 1-to-5 kb upstream-TSS and intergenic regions for human, mouse, rat and drosophila.</span></span></p>
<h4><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Gene ontology terms analysis</i><span style="font-weight: 400;">: </span></span></span></h4>
<p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Enrichment analysis on gene sets. Gene Ontology terms that are overrepresented in differentially bound regions may indicate the underlying biological processes involved. </span></span></span></p>
<h4><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Pathway analysis</i><span style="font-weight: 400;">: </span></span></span></span></h4>
<p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Identify biochemical pathways in which genes associated with differentially methylated regions (or individual differentially methylated CpGs) may be overrepresented. </span></span></span></span></p>
<h4><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Visualization of specific genomic regions:</i><span style="font-weight: 400;"> </span></span></span></span></span></h4>
<p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Visualization of results (i.e. sequencing data, peaks) at specific genomic regions (e.g. genes, promoters) in publication-ready images (human, mouse, rat). </span></span></span></span></span></p>
<h2>Additional information</h2>
<p><span style="font-weight: 400;">Generated files will be available for download during 1 month and stored for an additional period of 3 months on Diagenode’s servers. Additional long-term storage of data is available upon request. Original samples are stored at Diagenode during 12 months after project completion, but will be discarded once this time is exceeded. Return shipment of samples is available upon request. </span></p>
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'description' => '<h2 class="text-center"><span class="diacol">New!</span> <br />Data mining using machine learning (AI) for unique epigenetic data insights</h2>
<center><img src="https://www.diagenode.com/img/product/data-mining-long.png" /></center>
<p></p>
<div id="paper" style="text-align: center;">
<h4><a href="https://www.youtube.com/watch?v=KXjnSHz3Jk8">Watch the webinar to gain insights on how data mining can be applied for epigenetics applications</a></h4>
</div>
<center><iframe width="560" height="315" src="https://www.youtube.com/embed/KXjnSHz3Jk8" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen="allowfullscreen"></iframe></center>
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<blockquote style="padding-bottom: 0;"><span class="label-green" style="margin-bottom: 16px; margin-left: -22px; font-size: 22px;">WHITE PAPERS</span>
<div id="portal" class="main-portal">
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<li><a href="#panel1" class="tips portal button">Smokers vs non-smokers </a></li>
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<div class="content active" id="panel1">
<h3 style="margin-top: 0;">Powerful new insights with epigenetic data mining.<br /> A study to distinguish smokers from non-smokers using just one droplet of blood</h3>
<p>Next generation sequencing in combination with sophisticated bioinformatics technologies for genomic, transcriptomic and epigeneomic analyses have enormous potential to establish new biomarkers for disease diagnostics, enabling true precision medicine. Analyses of liquid biopsies to measure thousands of different data points simultaneously in easily accessible body fluids (e.g. blood, urine, and saliva) are extremely promising for such biomarker studies.<br />(...)</p>
<a href="https://www.diagenode.com/en/pages/form-bioinfo" class="alert small button" target="_blank">Read more</a></div>
<div class="content" id="panel2">
<h3 style="margin-top: 0;">Data mining on DNA methylation data in cancer samples<br />Distinguishing normal from breast cancer tissue</h3>
<p>Breast cancer is the most commonly occurring cancer in women and the second most common cancer overall.</p>
<p>One important aspect of cancer tissues it that they differ from normal tissues in their epigenetic make up, especially in the DNA methylation pattern. In normal cells methylation assures the proper regulation of gene expression and stable gene silencing. DNA methylation is associated with histone modifications, and the interplay of these epigenetic modifications is crucial to regulate the functioning of the genome by changing chromatin architecture.<br />(...)</p>
<a href="https://www.diagenode.com/en/pages/form-bioinfo?app_note=23" class="alert small button" target="_blank">Read more</a></div>
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<p>Diagenode's new data mining service utilizes methods at the frontier of machine learning, statistics, and database systems. This enhanced service supports new discoveries that were previously not possible by analyzing patterns in large data sets to give informative new insights.</p>
<p>If you have data from patient cohorts, single cell analyses or any other heterogeneous scenarios, our service team provides enhanced support with optimal data analysis using our latest data mining capabilities. Specifically, our team applies machine learning technologies to find previously undiscovered or unobvious relationships within and across datasets. This advanced technology allows discovery of informative features from mass data, essentially “finding a needle in a haystack.”</p>
<p>Diagenode utilizes multiple algorithms to achieve advanced data mining and uses the most optimal combination of algorithms specific to your data. Our goal is to build strong classifiers that separate data into two or more classes or groups depending on associated data.</p>
<p class="extra-spaced">Different and multiple -omics data classes can be mined simultaneously. Integration with phenotypic and/or clinical data is also possible. We offer data mining services for several data classes including:</p>
<table class="extra-spaced">
<tbody>
<tr>
<td><strong>Epigenetic data</strong></td>
<td><strong>Transcriptomic data</strong></td>
</tr>
<tr>
<td>
<p>DNA Methylation (RRBS, WGBS, EPIC arrays)</p>
<p>ChIP-sequencing</p>
<p>ATAC-seq</p>
</td>
<td>
<p>mRNA-sequencing</p>
<p>Small and long non coding RNA</p>
<p>Single-cell RNA-sequencing</p>
</td>
</tr>
</tbody>
</table>
<p></p>
<p><strong>Biological Interpretation</strong></p>
<p class="extra-spaced">Machine learning classifiers also mirror the underlying biological differences between classes and are used to uncover the molecular processes at work. In order to achieve this, we offer biological interpretation services and pathway mining analyses for your data.</p>
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<p><a href="https://www.diagenode.com/en/categories/Services">Read about our wetlab services</a></p>
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'meta_title' => 'Bioinformatics Data Mining Service | Diagenode',
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'meta_description' => 'Diagenode Data Mining Services utilizes multiple algorithms to achieve advanced data mining and uses the most optimal combination of algorithms specific to your data.',
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'name' => 'ChIP-seq Profiling Service',
'description' => '<p><strong>Chromatin immunoprecipitation followed by sequencing</strong> (<strong>ChIP-seq</strong>) is a powerful method allowing the genome-wide identification of DNA binding sites for proteins such as modified histones, transcription factors or chromatin remodelers. Determining how proteins interact with DNA to regulate gene expression is essential to fully understand many biological processes such as cell differentiation, organ development, and disease progression. The experts from our Epigenomics Profiling Services can help you to design your ChIP-seq project, optimize the workflow for your specific sample type/target, and provide you with high quality ChIP-seq data.</p>
<p>We use in house optimized reagents:</p>
<ul>
<li>Validated ChIP-seq Kits</li>
<li>Validated ChIP-seq grade antibodies</li>
</ul>
<p>And in-house developed equipment:</p>
<ul>
<li><strong>Bioruptor </strong>– for efficient and reproducible chromatin shearing</li>
</ul>
<p>We have expertise with many different types of samples as well as with a broad range of chromatin marks and can provide you with quality data even on very low input samples. Our bioinformatic experts will closely work with you to provide you with standard or customized analysis and will generate comprehensive publication-ready figures.</p>
<ul>
<li>Collaborative and customized project design to meet your needs</li>
<li>Dedicated in-house expert</li>
<li>End-to-end or customized service including wet lab and bioinformatic services</li>
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<p class="text-center"><img alt="ChIP Sequencing Services" src="https://www.diagenode.com/img/categories/chip_seq/ChIP-seq-success-experiment-WEB.png" /></p>
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'info1' => '<p>In order to provide you with the highest quality data, our ChIP-seq service is composed of two major steps:</p>
<ol>
<li><strong>ChIP validation</strong> - during this step we optimize the ChIP conditions that depend on your sample type, target and amount of cells.</li>
<li><strong>ChIP on sample of interest</strong> - once the best ChIP conditions are validated, the samples of interest can be processed.</li>
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<p></p>
<p>ChIP-seq service includes:</p>
<table style="width: 918px;">
<tbody>
<tr style="height: 62px;">
<td style="width: 218px; height: 220px; background-color: #f9f9f9;" rowspan="3"><strong>1. ChIP validation</strong></td>
<td style="width: 417px; height: 62px;"><strong>Chromatin Shearing validation</strong></td>
<td style="width: 568px; height: 62px;">
<ul>
<li>Testing 2 shearing times for each cell type/tissue type</li>
</ul>
</td>
</tr>
<tr style="height: 27px;">
<td style="width: 417px; height: 27px; background-color: white;"><strong>ChIP/Ab validation</strong></td>
<td style="width: 417px; height: 27px; background-color: white;">
<ul>
<li>Testing 2 Ab amounts and/or 2 Ab references per target of interest</li>
<li>qPCR analysis if positive and negative control regions can be provided</li>
<li>Library preparation on IPs and INPUTs material</li>
<li>Illumina sequencing run : Paired-end reads, 2x 50 bp, sequencing depth will be adjusted depending on the mark/specie studied</li>
<li>Quality check, alignment to reference genome, identification of enriched regions (peak calling)</li>
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<tr style="height: 131px;">
<td style="width: 417px; height: 131px;"><strong>Primers design and validation</strong></td>
<td style="width: 568px; height: 131px;">
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<li>Performed on gDNA based on the data obtained during the ChIP/Ab validation. Those primers will be used for further qPCR validation of the ChIP on the samples of interest</li>
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<tr style="height: 38px;">
<td style="width: 218px; height: 38px; background-color: white;"></td>
<td style="width: 218px; height: 38px;"></td>
<td style="width: 218px; height: 38px;"></td>
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<tr style="height: 59px;">
<td style="width: 218px; height: 216px; background-color: #f9f9f9; text-align: center;" rowspan="3"><strong>2. ChIP on sample of interest</strong></td>
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<td style="width: 568px; height: 59px;">
<ul>
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<li>qPCR analysis using primers that have been validated during the ChIP validation</li>
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<tr style="height: 69px;">
<td style="width: 568px; height: 69px; background-color: white;"><strong>Library Preparation</strong></td>
<td style="width: 568px; height: 69px; background-color: white;">
<ul>
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</td>
</tr>
<tr style="height: 88px;">
<td style="width: 417px; height: 88px;"><strong>Sequencing</strong></td>
<td style="width: 568px; height: 88px;">
<ul>
<li>Illumina sequencing run: Paired-end reads, 2x 50 bp, sequencing depth will be adjusted depending on the mark/specie studied</li>
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</td>
</tr>
</tbody>
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'info2' => '<h3>Bioinformatic analyses on samples of interest</h3>
<table style="width: 972px;">
<tbody>
<tr style="height: 107px; border-color: 1px;">
<td style="width: 137px; height: 107px; background-color: #f9f9f9; text-align: center;"><strong>Standard bioinformatics</strong></td>
<td style="width: 358px; height: 107px;">
<p style="text-align: center;"></p>
</td>
<td style="width: 466px; height: 107px;">
<ul>
<li>Quality check, alignment to reference genome, identification of enriched regions (peak calling)</li>
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</tr>
<tr style="height: 24px;">
<td style="width: 137px; height: 24px; background-color: white; text-align: center;"><strong></strong></td>
<td style="width: 137px; height: 24px; background-color: #f9f9f9; text-align: center;"></td>
<td style="width: 137px; height: 24px; background-color: #f9f9f9; text-align: center;"></td>
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<p style="text-align: center;"><strong>Differential binding analysis</strong></p>
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<td style="width: 466px; height: 41px; background-color: white;">
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<tr style="height: 26px;">
<td style="width: 466px; height: 26px; background-color: white; text-align: center;"><strong>Gene ontology termes analysis</strong></td>
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<ul>
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</td>
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<tr style="height: 56px;">
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<ul>
<li>Identify biochemical pathways in which genes associated with bound regions or differentially bound regions may be overrepresented</li>
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</td>
</tr>
<tr style="height: 14px;">
<td style="width: 466px; height: 14px; background-color: white; text-align: center;"><strong>Visualization of specific genomic regions</strong></td>
<td style="width: 466px; height: 14px; background-color: white;">
<ul>
<li>Visualization of results (i.e. sequencing data, peaks) at specific genomic regions (e.g. genes, promoters) in publication-ready images</li>
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</tr>
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'meta_title' => 'Chromatin Immunoprecipitation Sequencing (ChIP-Seq) Services | Diagenode',
'meta_keywords' => 'ChIP-seq services,Chromatin shearing, Immunoprecipitation,Library Preparation ',
'meta_description' => 'Diagenode offers end-to-end or customized ChIP-seq service including wet lab and bioinformatic services. Collaborative and customized project design to meet your needs. Dedicated in-house expert.',
'modified' => '2024-02-29 13:30:50',
'created' => '2015-08-26 17:17:38',
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'name' => 'Total RNA-seq Service',
'description' => '<div class="extra-spaced">
<p>Exploring the whole transcriptome allows to gain insight of potential transcriptional and regulatory network mechanisms. With <b>Total RNA-seq </b>services, we will sequence the whole transcriptome and record the complete set of RNA transcripts, including mRNAs and long non-coding RNAs, present in a biological sample under specific circumstances. This approach is optimal for finding biomarkers from known transcripts and discover new RNA features.</p>
<p>Our Epigenomics Profiling Services assure a fully integrated service-workflow for generation of RNA-seq libraries, multiplexed sequencing and data analysis. Serviced library preparation can be performed with an optional rRNA depletion step to enable cost-effective sequencing of RNA samples.</p>
</div>
<h2>High discovery power with total RNA-seq</h2>
<ul class="square">
<li>Detection of both coding and non-coding RNAs with optional rRNA depletion</li>
<li>Recognition of long coding RNAs involved in chromatin remodeling and transcriptional/post-transcriptional regulation</li>
<li>Investigation of the structure of genes, their splicing patterns and other post transcriptional modifications</li>
<li>Suitable for a broad range of input amounts</li>
<li>Compatible with FFPE samples</li>
<li>Fast turnaround time (from 5 to 6 weeks)</li>
</ul>
<p><span><i class="fa fa-arrow-circle-right"></i> </span><a href="https://www.diagenode.com/en/categories/rna-seq-category">See our other RNA-seq Profiling Services</a></p>',
'label1' => 'Sample Requirements',
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<ul>
<li><strong>Project size</strong>: minimum of 24 samples</li>
<li><strong>Sample type</strong>: total isolated RNA</li>
<li><strong>Required quantities</strong>: minimum 5 ng of total RNA (Human, Mouse, Rat) or 100 ng (Plant)</li>
<li><strong>Shipment conditions</strong>: shipped in 1.5 mL or 0.5 mL tubes on dry ice</li>
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</div>',
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<div class="extra-spaced">
<h3 class="green">What our service includes</h3>
<ol>
<li><strong>RNA quality control</strong></li>
<ul>
<li>Determination of RIN value (RNA integration number)</li>
<li>Measurement of RNA concentration</li>
</ul>
<li><strong>Library preparation</strong></li>
<ul>
<li>Optional rRNA depletion</li>
<li>Stranded library construction</li>
<li>Quality control of libraries prior to sequencing</li>
</ul>
<li><strong>Sequencing on Illumina platforms</strong></li>
<ul>
<li>50 million raw reads per sample</li>
</ul>
<li><strong>Data analysis</strong> (optional for additional fee)</li>
<ul>
<li>Standard bioinformatic analysis</li>
<li>Advanced bioinformatic analysis</li>
<li>Data delivery of raw data and all generated files through fast and secure file transfer or hard drive upon request</li>
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</ol>
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'info3' => '<table style="padding: 40px;">
<tbody>
<tr>
<td>
<h4 class="text-center"><strong>Standard bioinformatic analysis</strong><br /> (optional for additional fee)</h4>
</td>
<td>
<h4 class="text-center"><strong>Advanced bioinformatic analysis</strong><br /> (optional for additional fee)</h4>
</td>
</tr>
<tr>
<td style="vertical-align: top; padding-left: 20px;">
<ul>
<li>Demultiplexing, read quality control, trimming and filtering</li>
<li>Alignment to reference genome</li>
<li>Quantification of coding and non-coding RNA biotypes with specialized quantification tool MGCount (<a href="https://doi.org/10.1186/s12859-021-04544-3">software developed by Diagenode</a>)</li>
</ul>
<br />
<p><em>Provided files:</em></p>
<ul>
<li>Report with sequencing statistics</li>
<li>Raw data in FASTQ format</li>
<li>FastQC report</li>
<li>Alignment in BAM format</li>
<li>Un-normalized read counts</li>
</ul>
</td>
<td style="vertical-align: top;">
<ul>
<li>Differential expression analysis</li>
<li>Gene ontology terms analysis</li>
<li>Pathway analysis</li>
<li>Alternative splicing analysis</li>
<li>Novel transcript identification</li>
</ul>
</td>
</tr>
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'meta_description' => 'Total RNA-seq examines the entire transcriptome in an unbiased fashion. The method captures both coding and non-coding RNA transcripts and quantifies gene expression heterogeneity',
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'id' => '72',
'position' => '2',
'parent_id' => '121',
'name' => 'Chromatin Profiling Services',
'description' => '<div class="row">
<div class="small-12 medium-12 large-12 columns"><center></center></div>
</div>
<div class="row">
<div class="small-12 medium-4 large-4 columns">
<div class="panel"><center><img src="http://www.diagenode.com/img/categories/services/chip-workflow.png" alt="Chromatin-Immunoprecipitation-Diagenode" /></center>
<p>Chromatin consists of DNA, histones and non-histone proteins. Understanding the roles of histones and transcription factors is critical in understanding the regulation of gene expression.</p>
<p>Using ChIP-seq analysis, it is possible to profile histone modifications and transcription factor binding genome-wide to elucidate control of gene expression in disease or in response to a drug treatment. Diagenode’s Epigenomic Profiling Services offer a wide variety of chromatin analysis options through ChIP-seq and ATAC-seq.</p>
</div>
<center><img src="https://www.diagenode.com/img/logo-scientist-registered-supplier.png" /></center></div>
<div class="small-12 medium-8 large-8 columns"><center><img src="http://www.diagenode.com/img/applications/histone-marks-helice.png" alt="Histone-Antibodies-Diagenode" /></center><br href="../p/service-chip-seq" />
<h3><a href="../p/atac-seq-service">ATAC-seq: open chromatin regions</a></h3>
<p>Study genome-wide chromatin accessibility. Identify open chromatin sites and active regulatory elements such as promoter, enhancers, and insulators.</p>
<ul>
<ul>
<li>Nucleosome positioning</li>
</ul>
</ul>
<h3><a href="../p/service-chip-seq">ChIP-seq histone modifications</a></h3>
<p>Post-translational modification of histones is implicated in the regulation of gene expression, necessitating the study of regulatory elements and their interacting proteins like active promoter and enhancer analysis. Profile genome-wide histone modifications by ChIP-seq analysis to understand transcriptional regulation</p>
<ul>
<li><strong>Active promoter profiling</strong>: H3K4me3 enrichment</li>
<li><strong>Inactive promoter profiling</strong>: H3K27me3 enrichment</li>
<li><strong>Enhancer profiling</strong>: H3K4me1 and H3K27ac enrichment in regulatory regions</li>
<li><strong>Active gene body</strong>: H3K36me3</li>
</ul>
<h3><a href="../p/service-chip-seq">ChIP-seq Transcription Factors</a></h3>
<p>Explore the effects of transcription factor binding through ChIP-seq analysis of a multitude of TFs including:</p>
<ul>
<li>CTCF: transcriptional repressor and insulator activity</li>
<li>p300/CBP: histone acetyltransferase</li>
<li>Pol II, p53, and more</li>
<li>Epigenetic writers, readers, erasers</li>
<li>Nuclear receptors</li>
<li>Tumor suppressor genes</li>
</ul>
</div>
</div>
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'meta_description' => 'Diagenode Offers Expert and Fully Customizable ChIP-Seq Services for Chromatin Shearing, Immunoprecipitation Followed by Library Preparation and Sequencing including Bioinformatic analysis.',
'meta_title' => 'ChIP-Seq Analysis and ChIP-Seq Services | Diagenode',
'modified' => '2024-02-29 13:37:23',
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'name' => 'Epigenomics Profiling Services',
'description' => '<div class="row">
<div class="small-12 medium-10 large-10 columns text-left">
<p>Our Epigenomics Profiling Services assure the sample preparation expertise and quality data that you seek. We provide epigenome-wide analyses for understanding epigenetic mechanisms, epigenetics-related drug discovery, transgenerational epigenetics studies, epigenetic biomarker identification (including epigenomic cancer biomarkers), and functional epigenomics. Diagenode offers expert epigenomics services that you can trust for chromatin, DNA, and RNA analysis. </p>
</div>
<div class="small-12 medium-2 large-2 columns text-left"><img src="https://www.diagenode.com/img/logo-scientist-registered-supplier.png" /></div>
</div>
<center><img alt="DNA-RNA-Chromatin-Diagenode" src="https://www.diagenode.com/img/categories/services/chromatin-dna-rna.png" /></center>
<div class="row">
<div class="small-12 medium-4 large-4 columns text-left">
<div class="panel" style="border-color: #099f92;">
<h3><span class="green">Chromatin</span> analysis</h3>
<ul>
<li>ChIP-seq analysis Histone modification</li>
<li>Promoter analysis</li>
<li>Enhancer analysis</li>
<li>ChIP-seq analysis Transcription factor </li>
<li>(sc)ATAC-seq Chromatin accessibility</li>
<li>ChIP-seq Cas9 off-target</li>
<li>Customized NGS service</li>
</ul>
<p><i class="fa fa-arrow-circle-right"></i> <a href="../categories/chip-seq-service">Learn more</a></p>
</div>
</div>
<div class="small-12 medium-4 large-4 columns text-left">
<div class="panel" style="border-color: #474546;">
<h3><span class="darkgrey">DNA methylation</span> analysis</h3>
<ul>
<li>Reduced representation bisulfite sequencing (RRBS)</li>
<li>Whole genome bisulfite sequencing (WGBS)</li>
<li>Targeted methylation</li>
<li>MeDIP-seq/hMeDIP-seq</li>
<li>Infinium MethylationEPIC array </li>
</ul>
<p></p>
<p><i class="fa fa-arrow-circle-right"></i> <a href="../categories/dna-methylation-profiling-services">Learn more</a></p>
</div>
</div>
<div class="small-12 medium-4 large-4 columns text-left">
<div class="panel" style="border-color: #b11e33;">
<h3><span class="diacol"><g class="gr_ gr_44 gr-alert gr_spell gr_inline_cards gr_disable_anim_appear ContextualSpelling ins-del multiReplace" id="44" data-gr-id="44">RNA-seq</g></span> analysis</h3>
<ul>
<li><span style="display: inline !important; float: none; background-color: #f8f8f8; color: #333333; font-family: Helvetica,Arial,sans-serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration: none; text-indent: 0px; text-transform: none; -webkit-text-stroke-width: 0px; white-space: normal; word-spacing: 0px;">Gene expression profiling</span></li>
<li>mRNA<span style="display: inline !important; float: none; background-color: #f8f8f8; color: #333333; font-family: Helvetica,Arial,sans-serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration: none; text-indent: 0px; text-transform: none; -webkit-text-stroke-width: 0px; white-space: normal; word-spacing: 0px;"> analysis</span></li>
<li>Small non-coding RNA analysis</li>
<li><b></b>Whole transcriptome analysis<br /><br /><br /><br /><br /></li>
</ul>
<p><i class="fa fa-arrow-circle-right"></i> <a href="../categories/rna-seq-category">Learn more</a></p>
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<li><strong>Expertise and trust</strong>: Recognized epigenetics leader, official partner of <a href="http://www.blueprint-epigenome.eu/"><g class="gr_ gr_45 gr-alert gr_spell gr_inline_cards gr_disable_anim_appear ContextualSpelling ins-del multiReplace" id="45" data-gr-id="45">BLUEPRINT</g></a>, <a href="http://ihec-epigenomes.org/">IHEC</a> <g class="gr_ gr_46 gr-alert gr_gramm gr_inline_cards gr_disable_anim_appear Punctuation only-ins replaceWithoutSep" id="46" data-gr-id="46">and</g> <a href="https://www.faang.org/">FAANG</a></li>
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<h6 style="height:60px">Bioinformatics Data Mining Service</h6>
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<div class="small-12 columns">
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<span class="success label" style="">G02010000</span>
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<h3>Get a quote</h3><p class="lead">You are about to request a quote for <strong>our epigenomics services</strong>. Fill out the form below and we will be in touch with you very soon.</p><p><small>All <span style="font-size:16px;color:red;">*</span> fields are mandatory</small></p>
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<div class="row collapse">
<h2>Service Information</h2>
</div>
<div class="small-12 large-12 columns">
<h4>Which services are you interested in?</h4>
</div>
<div class="small-12 large-12 columns">
<input type="hidden" name="data[Quote][epigenomics_service]" value="" id="QuoteEpigenomicsService"/>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="ChIP-seq" id="QuoteEpigenomicsServiceChIPSeq" /><label for="QuoteEpigenomicsServiceChIPSeq">ChIP-seq</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="ATAC-seq" id="QuoteEpigenomicsServiceATACSeq" /><label for="QuoteEpigenomicsServiceATACSeq">ATAC-seq</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="RRBS" id="QuoteEpigenomicsServiceRRBS" /><label for="QuoteEpigenomicsServiceRRBS">RRBS</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="WGBS" id="QuoteEpigenomicsServiceWGBS" /><label for="QuoteEpigenomicsServiceWGBS">WGBS</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="MeDIP-seq" id="QuoteEpigenomicsServiceMeDIPSeq" /><label for="QuoteEpigenomicsServiceMeDIPSeq">MeDIP-seq</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Targeted DNA methylation analysis" id="QuoteEpigenomicsServiceTargetedDNAMethylationAnalysis" /><label for="QuoteEpigenomicsServiceTargetedDNAMethylationAnalysis">Targeted DNA methylation analysis</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Infinium MethylationEPIC Array v2" id="QuoteEpigenomicsServiceInfiniumMethylationEPICArrayV2" /><label for="QuoteEpigenomicsServiceInfiniumMethylationEPICArrayV2">Infinium MethylationEPIC Array v2</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Infinium Mouse Methylation Array" id="QuoteEpigenomicsServiceInfiniumMouseMethylationArray" /><label for="QuoteEpigenomicsServiceInfiniumMouseMethylationArray">Infinium Mouse Methylation Array</label></div>
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<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Data mining" id="QuoteEpigenomicsServiceDataMining" /><label for="QuoteEpigenomicsServiceDataMining">Data mining</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Human Methylome" id="QuoteEpigenomicsServiceHumanMethylome" /><label for="QuoteEpigenomicsServiceHumanMethylome">Human Methylome</label></div>
</div>
<div class="row collapse">
<div class="small-12 medium-12 large-3 columns">
<span class="prefix">Sample species</span>
</div>
<div class="small-12 medium-12 large-9 columns">
<input name="data[Quote][sample_species]" maxlength="510" type="text" id="QuoteSampleSpecies"/> </div>
</div>
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<div class="small-12 medium-12 large-6 columns">
<span class="prefix">Total number of samples (including replicates)</span>
</div>
<div class="small-12 medium-12 large-6 columns">
<input name="data[Quote][number_samples]" maxlength="255" type="text" id="QuoteNumberSamples"/> </div>
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<h2>Contact Information</h2>
<div class="small-3 large-2 columns">
<span class="prefix">First name <sup style="font-size:16px;color:red;">*</sup></span>
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<span class="prefix">Last name <sup style="font-size:16px;color:red;">*</sup></span>
</div>
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</div>
<div class="row collapse">
<div class="small-3 large-2 columns">
<span class="prefix">Company <sup style="font-size:16px;color:red;">*</sup></span>
</div>
<div class="small-9 large-10 columns">
<input name="data[Quote][company]" placeholder="Organisation / Institute" maxlength="255" type="text" id="QuoteCompany" required="required"/> </div>
</div>
<div class="row collapse">
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<span class="prefix">Phone number</span>
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<input name="data[Quote][phone_number]" placeholder="+1 862 209-4680" maxlength="255" type="text" id="QuotePhoneNumber"/> </div>
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<div class="row collapse">
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<option value="AF">Afghanistan</option>
<option value="AX">Åland Islands</option>
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<option value="DZ">Algeria</option>
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<option value="AT">Austria</option>
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<option value="BS">Bahamas</option>
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<option value="BD">Bangladesh</option>
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<option value="BV">Bouvet Island</option>
<option value="BR">Brazil</option>
<option value="IO">British Indian Ocean Territory</option>
<option value="BN">Brunei Darussalam</option>
<option value="BG">Bulgaria</option>
<option value="BF">Burkina Faso</option>
<option value="BI">Burundi</option>
<option value="KH">Cambodia</option>
<option value="CM">Cameroon</option>
<option value="CA">Canada</option>
<option value="CV">Cape Verde</option>
<option value="KY">Cayman Islands</option>
<option value="CF">Central African Republic</option>
<option value="TD">Chad</option>
<option value="CL">Chile</option>
<option value="CN">China</option>
<option value="CX">Christmas Island</option>
<option value="CC">Cocos (Keeling) Islands</option>
<option value="CO">Colombia</option>
<option value="KM">Comoros</option>
<option value="CG">Congo</option>
<option value="CD">Congo, The Democratic Republic of the</option>
<option value="CK">Cook Islands</option>
<option value="CR">Costa Rica</option>
<option value="CI">Côte d'Ivoire</option>
<option value="HR">Croatia</option>
<option value="CU">Cuba</option>
<option value="CW">Curaçao</option>
<option value="CY">Cyprus</option>
<option value="CZ">Czech Republic</option>
<option value="DK">Denmark</option>
<option value="DJ">Djibouti</option>
<option value="DM">Dominica</option>
<option value="DO">Dominican Republic</option>
<option value="EC">Ecuador</option>
<option value="EG">Egypt</option>
<option value="SV">El Salvador</option>
<option value="GQ">Equatorial Guinea</option>
<option value="ER">Eritrea</option>
<option value="EE">Estonia</option>
<option value="ET">Ethiopia</option>
<option value="FK">Falkland Islands (Malvinas)</option>
<option value="FO">Faroe Islands</option>
<option value="FJ">Fiji</option>
<option value="FI">Finland</option>
<option value="FR">France</option>
<option value="GF">French Guiana</option>
<option value="PF">French Polynesia</option>
<option value="TF">French Southern Territories</option>
<option value="GA">Gabon</option>
<option value="GM">Gambia</option>
<option value="GE">Georgia</option>
<option value="DE">Germany</option>
<option value="GH">Ghana</option>
<option value="GI">Gibraltar</option>
<option value="GR">Greece</option>
<option value="GL">Greenland</option>
<option value="GD">Grenada</option>
<option value="GP">Guadeloupe</option>
<option value="GU">Guam</option>
<option value="GT">Guatemala</option>
<option value="GG">Guernsey</option>
<option value="GN">Guinea</option>
<option value="GW">Guinea-Bissau</option>
<option value="GY">Guyana</option>
<option value="HT">Haiti</option>
<option value="HM">Heard Island and McDonald Islands</option>
<option value="VA">Holy See (Vatican City State)</option>
<option value="HN">Honduras</option>
<option value="HK">Hong Kong</option>
<option value="HU">Hungary</option>
<option value="IS">Iceland</option>
<option value="IN">India</option>
<option value="ID">Indonesia</option>
<option value="IR">Iran, Islamic Republic of</option>
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</div>
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<div class="small-12 columns" >
<h6 style="height:60px">ChIP-seq/ChIP-qPCR Profiling service</h6>
</div>
</div>
</li>
<li>
<div class="row">
<div class="small-12 columns">
<a href="/cn/p/rna-seq-services"><img src="/img/grey-logo.jpg" alt="default alt" class="th"/></a> </div>
<div class="small-12 columns">
<div class="small-6 columns" style="padding-left:0px;padding-right:0px;margin-top:-6px;margin-left:-1px">
<span class="success label" style="">G02030000</span>
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<h3>Get a quote</h3><p class="lead">You are about to request a quote for <strong>RNA-seq services</strong>. Fill out the form below and we will be in touch with you very soon.</p><p><small>All <span style="font-size:16px;color:red;">*</span> fields are mandatory</small></p>
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<select name="data[Quote][country]" required="required" class="triggers" id="country_selector_quote-2903">
<option value="">-- select a country --</option>
<option value="AF">Afghanistan</option>
<option value="AX">Åland Islands</option>
<option value="AL">Albania</option>
<option value="DZ">Algeria</option>
<option value="AS">American Samoa</option>
<option value="AD">Andorra</option>
<option value="AO">Angola</option>
<option value="AI">Anguilla</option>
<option value="AQ">Antarctica</option>
<option value="AG">Antigua and Barbuda</option>
<option value="AR">Argentina</option>
<option value="AM">Armenia</option>
<option value="AW">Aruba</option>
<option value="AU">Australia</option>
<option value="AT">Austria</option>
<option value="AZ">Azerbaijan</option>
<option value="BS">Bahamas</option>
<option value="BH">Bahrain</option>
<option value="BD">Bangladesh</option>
<option value="BB">Barbados</option>
<option value="BY">Belarus</option>
<option value="BE">Belgium</option>
<option value="BZ">Belize</option>
<option value="BJ">Benin</option>
<option value="BM">Bermuda</option>
<option value="BT">Bhutan</option>
<option value="BO">Bolivia</option>
<option value="BQ">Bonaire, Sint Eustatius and Saba</option>
<option value="BA">Bosnia and Herzegovina</option>
<option value="BW">Botswana</option>
<option value="BV">Bouvet Island</option>
<option value="BR">Brazil</option>
<option value="IO">British Indian Ocean Territory</option>
<option value="BN">Brunei Darussalam</option>
<option value="BG">Bulgaria</option>
<option value="BF">Burkina Faso</option>
<option value="BI">Burundi</option>
<option value="KH">Cambodia</option>
<option value="CM">Cameroon</option>
<option value="CA">Canada</option>
<option value="CV">Cape Verde</option>
<option value="KY">Cayman Islands</option>
<option value="CF">Central African Republic</option>
<option value="TD">Chad</option>
<option value="CL">Chile</option>
<option value="CN">China</option>
<option value="CX">Christmas Island</option>
<option value="CC">Cocos (Keeling) Islands</option>
<option value="CO">Colombia</option>
<option value="KM">Comoros</option>
<option value="CG">Congo</option>
<option value="CD">Congo, The Democratic Republic of the</option>
<option value="CK">Cook Islands</option>
<option value="CR">Costa Rica</option>
<option value="CI">Côte d'Ivoire</option>
<option value="HR">Croatia</option>
<option value="CU">Cuba</option>
<option value="CW">Curaçao</option>
<option value="CY">Cyprus</option>
<option value="CZ">Czech Republic</option>
<option value="DK">Denmark</option>
<option value="DJ">Djibouti</option>
<option value="DM">Dominica</option>
<option value="DO">Dominican Republic</option>
<option value="EC">Ecuador</option>
<option value="EG">Egypt</option>
<option value="SV">El Salvador</option>
<option value="GQ">Equatorial Guinea</option>
<option value="ER">Eritrea</option>
<option value="EE">Estonia</option>
<option value="ET">Ethiopia</option>
<option value="FK">Falkland Islands (Malvinas)</option>
<option value="FO">Faroe Islands</option>
<option value="FJ">Fiji</option>
<option value="FI">Finland</option>
<option value="FR">France</option>
<option value="GF">French Guiana</option>
<option value="PF">French Polynesia</option>
<option value="TF">French Southern Territories</option>
<option value="GA">Gabon</option>
<option value="GM">Gambia</option>
<option value="GE">Georgia</option>
<option value="DE">Germany</option>
<option value="GH">Ghana</option>
<option value="GI">Gibraltar</option>
<option value="GR">Greece</option>
<option value="GL">Greenland</option>
<option value="GD">Grenada</option>
<option value="GP">Guadeloupe</option>
<option value="GU">Guam</option>
<option value="GT">Guatemala</option>
<option value="GG">Guernsey</option>
<option value="GN">Guinea</option>
<option value="GW">Guinea-Bissau</option>
<option value="GY">Guyana</option>
<option value="HT">Haiti</option>
<option value="HM">Heard Island and McDonald Islands</option>
<option value="VA">Holy See (Vatican City State)</option>
<option value="HN">Honduras</option>
<option value="HK">Hong Kong</option>
<option value="HU">Hungary</option>
<option value="IS">Iceland</option>
<option value="IN">India</option>
<option value="ID">Indonesia</option>
<option value="IR">Iran, Islamic Republic of</option>
<option value="IQ">Iraq</option>
<option value="IE">Ireland</option>
<option value="IM">Isle of Man</option>
<option value="IL">Israel</option>
<option value="IT">Italy</option>
<option value="JM">Jamaica</option>
<option value="JP">Japan</option>
<option value="JE">Jersey</option>
<option value="JO">Jordan</option>
<option value="KZ">Kazakhstan</option>
<option value="KE">Kenya</option>
<option value="KI">Kiribati</option>
<option value="KP">Korea, Democratic People's Republic of</option>
<option value="KR">Korea, Republic of</option>
<option value="KW">Kuwait</option>
<option value="KG">Kyrgyzstan</option>
<option value="LA">Lao People's Democratic Republic</option>
<option value="LV">Latvia</option>
<option value="LB">Lebanon</option>
<option value="LS">Lesotho</option>
<option value="LR">Liberia</option>
<option value="LY">Libya</option>
<option value="LI">Liechtenstein</option>
<option value="LT">Lithuania</option>
<option value="LU">Luxembourg</option>
<option value="MO">Macao</option>
<option value="MK">Macedonia, Republic of</option>
<option value="MG">Madagascar</option>
<option value="MW">Malawi</option>
<option value="MY">Malaysia</option>
<option value="MV">Maldives</option>
<option value="ML">Mali</option>
<option value="MT">Malta</option>
<option value="MH">Marshall Islands</option>
<option value="MQ">Martinique</option>
<option value="MR">Mauritania</option>
<option value="MU">Mauritius</option>
<option value="YT">Mayotte</option>
<option value="MX">Mexico</option>
<option value="FM">Micronesia, Federated States of</option>
<option value="MD">Moldova</option>
<option value="MC">Monaco</option>
<option value="MN">Mongolia</option>
<option value="ME">Montenegro</option>
<option value="MS">Montserrat</option>
<option value="MA">Morocco</option>
<option value="MZ">Mozambique</option>
<option value="MM">Myanmar</option>
<option value="NA">Namibia</option>
<option value="NR">Nauru</option>
<option value="NP">Nepal</option>
<option value="NL">Netherlands</option>
<option value="NC">New Caledonia</option>
<option value="NZ">New Zealand</option>
<option value="NI">Nicaragua</option>
<option value="NE">Niger</option>
<option value="NG">Nigeria</option>
<option value="NU">Niue</option>
<option value="NF">Norfolk Island</option>
<option value="MP">Northern Mariana Islands</option>
<option value="NO">Norway</option>
<option value="OM">Oman</option>
<option value="PK">Pakistan</option>
<option value="PW">Palau</option>
<option value="PS">Palestine, State of</option>
<option value="PA">Panama</option>
<option value="PG">Papua New Guinea</option>
<option value="PY">Paraguay</option>
<option value="PE">Peru</option>
<option value="PH">Philippines</option>
<option value="PN">Pitcairn</option>
<option value="PL">Poland</option>
<option value="PT">Portugal</option>
<option value="PR">Puerto Rico</option>
<option value="QA">Qatar</option>
<option value="RE">Réunion</option>
<option value="RO">Romania</option>
<option value="RU">Russian Federation</option>
<option value="RW">Rwanda</option>
<option value="BL">Saint Barthélemy</option>
<option value="SH">Saint Helena, Ascension and Tristan da Cunha</option>
<option value="KN">Saint Kitts and Nevis</option>
<option value="LC">Saint Lucia</option>
<option value="MF">Saint Martin (French part)</option>
<option value="PM">Saint Pierre and Miquelon</option>
<option value="VC">Saint Vincent and the Grenadines</option>
<option value="WS">Samoa</option>
<option value="SM">San Marino</option>
<option value="ST">Sao Tome and Principe</option>
<option value="SA">Saudi Arabia</option>
<option value="SN">Senegal</option>
<option value="RS">Serbia</option>
<option value="SC">Seychelles</option>
<option value="SL">Sierra Leone</option>
<option value="SG">Singapore</option>
<option value="SX">Sint Maarten (Dutch part)</option>
<option value="SK">Slovakia</option>
<option value="SI">Slovenia</option>
<option value="SB">Solomon Islands</option>
<option value="SO">Somalia</option>
<option value="ZA">South Africa</option>
<option value="GS">South Georgia and the South Sandwich Islands</option>
<option value="ES">Spain</option>
<option value="LK">Sri Lanka</option>
<option value="SD">Sudan</option>
<option value="SR">Suriname</option>
<option value="SS">South Sudan</option>
<option value="SJ">Svalbard and Jan Mayen</option>
<option value="SZ">Swaziland</option>
<option value="SE">Sweden</option>
<option value="CH">Switzerland</option>
<option value="SY">Syrian Arab Republic</option>
<option value="TW">Taiwan</option>
<option value="TJ">Tajikistan</option>
<option value="TZ">Tanzania</option>
<option value="TH">Thailand</option>
<option value="TL">Timor-Leste</option>
<option value="TG">Togo</option>
<option value="TK">Tokelau</option>
<option value="TO">Tonga</option>
<option value="TT">Trinidad and Tobago</option>
<option value="TN">Tunisia</option>
<option value="TR">Turkey</option>
<option value="TM">Turkmenistan</option>
<option value="TC">Turks and Caicos Islands</option>
<option value="TV">Tuvalu</option>
<option value="UG">Uganda</option>
<option value="UA">Ukraine</option>
<option value="AE">United Arab Emirates</option>
<option value="GB">United Kingdom</option>
<option value="US" selected="selected">United States</option>
<option value="UM">United States Minor Outlying Islands</option>
<option value="UY">Uruguay</option>
<option value="UZ">Uzbekistan</option>
<option value="VU">Vanuatu</option>
<option value="VE">Venezuela</option>
<option value="VN">Viet Nam</option>
<option value="VG">Virgin Islands, British</option>
<option value="VI">Virgin Islands, U.S.</option>
<option value="WF">Wallis and Futuna</option>
<option value="EH">Western Sahara</option>
<option value="YE">Yemen</option>
<option value="ZM">Zambia</option>
<option value="ZW">Zimbabwe</option>
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<div class="row collapse">
<div class="small-3 large-2 columns">
<span class="prefix">State</span>
</div>
<div class="small-9 large-10 columns">
<input name="data[Quote][state]" id="state-2903" maxlength="3" type="text"/><br />
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<div class="row collapse">
<div class="small-3 large-2 columns">
<span class="prefix">Email <sup style="font-size:16px;color:red;">*</sup></span>
</div>
<div class="small-9 large-10 columns">
<input name="data[Quote][email]" placeholder="email@address.com" maxlength="255" type="email" id="QuoteEmail" required="required"/> </div>
</div>
<div class="row collapse" id="email_v">
<div class="small-3 large-2 columns">
<span class="prefix">Email verification<sup style="font-size:16px;color:red;">*</sup></span>
</div>
<div class="small-9 large-10 columns">
<input name="data[Quote][email_v]" autocomplete="nope" type="text" id="QuoteEmailV"/> </div>
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<div class="row collapse">
<div class="small-3 large-2 columns">
<span class="prefix">Comment</span>
</div>
<div class="small-9 large-10 columns">
<textarea name="data[Quote][comment]" placeholder="Additional comments" cols="30" rows="6" id="QuoteComment"></textarea> </div>
</div>
<!------------SERVICES PARTICULAR FORM START---------------->
<!------------DATA TO POPULATE REGARDING SPECIFIC SERVICES----->
<div class="row collapse">
<div class="small-3 large-2 columns">
</div>
<div class="small-9 large-10 columns">
<div class="recaptcha"><div id="recaptcha662896ec352a9"></div></div> </div>
</div>
<br />
<div class="row collapse">
<div class="small-3 large-2 columns">
</div>
<div class="small-9 large-10 columns">
<button id="submit_btn-2903" class="alert button expand" form="Quote-2903" type="submit">Contact me</button> </div>
</div>
</form><script>
var pardotFormHandlerURL = 'https://go.diagenode.com/l/928883/2022-10-10/36b1c';
function postToPardot(formAction, id) {
$('#pardot-form-handler').load(function(){
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<a class="close-reveal-modal" aria-label="Close">×</a></div><!-- END: QUOTE MODAL --><a href="#" id="rna-seq-services" data-reveal-id="quoteModal-2903" class="quote_btn" style="color:#B21329"><i class="fa fa-info-circle"></i></a>
</div>
</div>
<div class="small-12 columns" >
<h6 style="height:60px">RNA-seq services</h6>
</div>
</div>
</li>
'
$related = array(
'id' => '2903',
'antibody_id' => null,
'name' => 'Total RNA-seq Service',
'description' => '<div class="extra-spaced">
<p>Exploring the whole transcriptome allows to gain insight of potential transcriptional and regulatory network mechanisms. With <b>Total RNA-seq </b>services, we will sequence the whole transcriptome and record the complete set of RNA transcripts, including mRNAs and long non-coding RNAs, present in a biological sample under specific circumstances. This approach is optimal for finding biomarkers from known transcripts and discover new RNA features.</p>
<p>Our Epigenomics Profiling Services assure a fully integrated service-workflow for generation of RNA-seq libraries, multiplexed sequencing and data analysis. Serviced library preparation can be performed with an optional rRNA depletion step to enable cost-effective sequencing of RNA samples.</p>
</div>
<h2>High discovery power with total RNA-seq</h2>
<ul class="square">
<li>Detection of both coding and non-coding RNAs with optional rRNA depletion</li>
<li>Recognition of long coding RNAs involved in chromatin remodeling and transcriptional/post-transcriptional regulation</li>
<li>Investigation of the structure of genes, their splicing patterns and other post transcriptional modifications</li>
<li>Suitable for a broad range of input amounts</li>
<li>Compatible with FFPE samples</li>
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<p><span><i class="fa fa-arrow-circle-right"></i> </span><a href="https://www.diagenode.com/en/categories/rna-seq-category">See our other RNA-seq Profiling Services</a></p>',
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<h2>Additional analysis on request:</h2>
<h4><em>Differential <span style="font-weight: 400;">accessibility </span>analysis:</em><strong><b> </b></strong></h4>
<p><strong><span style="font-weight: 400;">Identification and annotation (human, mouse, rat, drosophila) of differential chromatin accessibility between samples.</span></strong></p>
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<h4><span style="font-weight: 400;"><i>Annotation in genomic regions</i><b>: </b></span></h4>
<p><span style="font-weight: 400;"><span style="font-weight: 400;">Annotation of ATAC-Seq peaks with genomic regions: introns, exons, promoters, 1-to-5 kb upstream-TSS and intergenic regions for human, mouse, rat and drosophila.</span></span></p>
<h4><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Gene ontology terms analysis</i><span style="font-weight: 400;">: </span></span></span></h4>
<p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Enrichment analysis on gene sets. Gene Ontology terms that are overrepresented in differentially bound regions may indicate the underlying biological processes involved. </span></span></span></p>
<h4><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Pathway analysis</i><span style="font-weight: 400;">: </span></span></span></span></h4>
<p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Identify biochemical pathways in which genes associated with differentially methylated regions (or individual differentially methylated CpGs) may be overrepresented. </span></span></span></span></p>
<h4><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Visualization of specific genomic regions:</i><span style="font-weight: 400;"> </span></span></span></span></span></h4>
<p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Visualization of results (i.e. sequencing data, peaks) at specific genomic regions (e.g. genes, promoters) in publication-ready images (human, mouse, rat). </span></span></span></span></span></p>
<h2>Additional information</h2>
<p><span style="font-weight: 400;">Generated files will be available for download during 1 month and stored for an additional period of 3 months on Diagenode’s servers. Additional long-term storage of data is available upon request. Original samples are stored at Diagenode during 12 months after project completion, but will be discarded once this time is exceeded. Return shipment of samples is available upon request. </span></p>
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<p><span>Deep sequencing</span></p>
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<td style="width: 622px;">
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<li><span>Samples are sequenced on an Illumina ® platform, paired-end 2x75bp</span></li>
<li><span>100 million raw reads on average are obtained per sample when pooling 3samples/lane (Hi-seq 4000). Sequencing depth will be adjusted to project dependent criteria.</span></li>
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<p><span style="font-weight: 400;">Quality check, alignment to reference genome and identification of enriched regions (peak calling).</span></p>
<p><b>Provided files:</b></p>
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<h2>Additional analysis on request:</h2>
<h4><em>Differential <span style="font-weight: 400;">accessibility </span>analysis:</em><strong><b> </b></strong></h4>
<p><strong><span style="font-weight: 400;">Identification and annotation (human, mouse, rat, drosophila) of differential chromatin accessibility between samples.</span></strong></p>
<p><strong>Provided files:</strong></p>
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<p></p>
<h4><span style="font-weight: 400;"><i>Annotation in genomic regions</i><b>: </b></span></h4>
<p><span style="font-weight: 400;"><span style="font-weight: 400;">Annotation of ATAC-Seq peaks with genomic regions: introns, exons, promoters, 1-to-5 kb upstream-TSS and intergenic regions for human, mouse, rat and drosophila.</span></span></p>
<h4><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Gene ontology terms analysis</i><span style="font-weight: 400;">: </span></span></span></h4>
<p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Enrichment analysis on gene sets. Gene Ontology terms that are overrepresented in differentially bound regions may indicate the underlying biological processes involved. </span></span></span></p>
<h4><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Pathway analysis</i><span style="font-weight: 400;">: </span></span></span></span></h4>
<p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Identify biochemical pathways in which genes associated with differentially methylated regions (or individual differentially methylated CpGs) may be overrepresented. </span></span></span></span></p>
<h4><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><i>Visualization of specific genomic regions:</i><span style="font-weight: 400;"> </span></span></span></span></span></h4>
<p><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;"><span style="font-weight: 400;">Visualization of results (i.e. sequencing data, peaks) at specific genomic regions (e.g. genes, promoters) in publication-ready images (human, mouse, rat). </span></span></span></span></span></p>
<h2>Additional information</h2>
<p><span style="font-weight: 400;">Generated files will be available for download during 1 month and stored for an additional period of 3 months on Diagenode’s servers. Additional long-term storage of data is available upon request. Original samples are stored at Diagenode during 12 months after project completion, but will be discarded once this time is exceeded. Return shipment of samples is available upon request. </span></p>
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'description' => '<h2 class="text-center"><span class="diacol">New!</span> <br />Data mining using machine learning (AI) for unique epigenetic data insights</h2>
<center><img src="https://www.diagenode.com/img/product/data-mining-long.png" /></center>
<p></p>
<div id="paper" style="text-align: center;">
<h4><a href="https://www.youtube.com/watch?v=KXjnSHz3Jk8">Watch the webinar to gain insights on how data mining can be applied for epigenetics applications</a></h4>
</div>
<center><iframe width="560" height="315" src="https://www.youtube.com/embed/KXjnSHz3Jk8" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen="allowfullscreen"></iframe></center>
<p></p>
<div class="row">
<div class="small-12 medium-12 large-12 columns">
<blockquote style="padding-bottom: 0;"><span class="label-green" style="margin-bottom: 16px; margin-left: -22px; font-size: 22px;">WHITE PAPERS</span>
<div id="portal" class="main-portal">
<div class="portal-inner"><nav class="portal-nav" style="text-align: left;">
<ul data-tab="" class="tips-menu">
<li><a href="#panel1" class="tips portal button">Smokers vs non-smokers </a></li>
<li><a href="#panel2" class="tips portal button">Breast cancer</a></li>
</ul>
</nav></div>
</div>
<div class="tabs-content">
<div class="content active" id="panel1">
<h3 style="margin-top: 0;">Powerful new insights with epigenetic data mining.<br /> A study to distinguish smokers from non-smokers using just one droplet of blood</h3>
<p>Next generation sequencing in combination with sophisticated bioinformatics technologies for genomic, transcriptomic and epigeneomic analyses have enormous potential to establish new biomarkers for disease diagnostics, enabling true precision medicine. Analyses of liquid biopsies to measure thousands of different data points simultaneously in easily accessible body fluids (e.g. blood, urine, and saliva) are extremely promising for such biomarker studies.<br />(...)</p>
<a href="https://www.diagenode.com/en/pages/form-bioinfo" class="alert small button" target="_blank">Read more</a></div>
<div class="content" id="panel2">
<h3 style="margin-top: 0;">Data mining on DNA methylation data in cancer samples<br />Distinguishing normal from breast cancer tissue</h3>
<p>Breast cancer is the most commonly occurring cancer in women and the second most common cancer overall.</p>
<p>One important aspect of cancer tissues it that they differ from normal tissues in their epigenetic make up, especially in the DNA methylation pattern. In normal cells methylation assures the proper regulation of gene expression and stable gene silencing. DNA methylation is associated with histone modifications, and the interplay of these epigenetic modifications is crucial to regulate the functioning of the genome by changing chromatin architecture.<br />(...)</p>
<a href="https://www.diagenode.com/en/pages/form-bioinfo?app_note=23" class="alert small button" target="_blank">Read more</a></div>
</div>
</blockquote>
</div>
</div>
<p>Diagenode's new data mining service utilizes methods at the frontier of machine learning, statistics, and database systems. This enhanced service supports new discoveries that were previously not possible by analyzing patterns in large data sets to give informative new insights.</p>
<p>If you have data from patient cohorts, single cell analyses or any other heterogeneous scenarios, our service team provides enhanced support with optimal data analysis using our latest data mining capabilities. Specifically, our team applies machine learning technologies to find previously undiscovered or unobvious relationships within and across datasets. This advanced technology allows discovery of informative features from mass data, essentially “finding a needle in a haystack.”</p>
<p>Diagenode utilizes multiple algorithms to achieve advanced data mining and uses the most optimal combination of algorithms specific to your data. Our goal is to build strong classifiers that separate data into two or more classes or groups depending on associated data.</p>
<p class="extra-spaced">Different and multiple -omics data classes can be mined simultaneously. Integration with phenotypic and/or clinical data is also possible. We offer data mining services for several data classes including:</p>
<table class="extra-spaced">
<tbody>
<tr>
<td><strong>Epigenetic data</strong></td>
<td><strong>Transcriptomic data</strong></td>
</tr>
<tr>
<td>
<p>DNA Methylation (RRBS, WGBS, EPIC arrays)</p>
<p>ChIP-sequencing</p>
<p>ATAC-seq</p>
</td>
<td>
<p>mRNA-sequencing</p>
<p>Small and long non coding RNA</p>
<p>Single-cell RNA-sequencing</p>
</td>
</tr>
</tbody>
</table>
<p></p>
<p><strong>Biological Interpretation</strong></p>
<p class="extra-spaced">Machine learning classifiers also mirror the underlying biological differences between classes and are used to uncover the molecular processes at work. In order to achieve this, we offer biological interpretation services and pathway mining analyses for your data.</p>
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'label1' => 'Data mining modules ',
'info1' => '<ol>
<li><strong>Feasibility study</strong></li>
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<ul>
<li>Assessment of data characteristics and <span></span>applicability of different machine learning (ML)</li>
<li>Prototypic analyses:</li>
<li>Initial feasibility report</li>
</ul>
<p></p>
<ol start="2">
<li><strong>Data Mining</strong></li>
</ol>
<ul>
<li>Machine learning on data</li>
<li>Data evaluation and validation</li>
<li>Report generation</li>
</ul>
<p> </p>
<ol start="3">
<li><strong>Data Interpretation</strong></li>
</ol>
<ul>
<li>Integration of background knowledge</li>
<li>Functional interpretation / pathway mining</li>
<li>Scientific reporting</li>
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'label2' => 'Integration with wet lab services and bioinformatics',
'info2' => '<p>A clear advantage of <strong>Diagenode’s data mining services</strong> is the close connection with<span> </span>other service offerings like <strong>wet lab analysis services</strong> and <strong>bioinformatics services</strong>. You can retrieve a full service package from a single source.</p>
<p><a href="https://www.diagenode.com/en/categories/Services">Read about our wetlab services</a></p>
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'name' => 'ChIP-seq Profiling Service',
'description' => '<p><strong>Chromatin immunoprecipitation followed by sequencing</strong> (<strong>ChIP-seq</strong>) is a powerful method allowing the genome-wide identification of DNA binding sites for proteins such as modified histones, transcription factors or chromatin remodelers. Determining how proteins interact with DNA to regulate gene expression is essential to fully understand many biological processes such as cell differentiation, organ development, and disease progression. The experts from our Epigenomics Profiling Services can help you to design your ChIP-seq project, optimize the workflow for your specific sample type/target, and provide you with high quality ChIP-seq data.</p>
<p>We use in house optimized reagents:</p>
<ul>
<li>Validated ChIP-seq Kits</li>
<li>Validated ChIP-seq grade antibodies</li>
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<li><strong>Bioruptor </strong>– for efficient and reproducible chromatin shearing</li>
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<p>We have expertise with many different types of samples as well as with a broad range of chromatin marks and can provide you with quality data even on very low input samples. Our bioinformatic experts will closely work with you to provide you with standard or customized analysis and will generate comprehensive publication-ready figures.</p>
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<p class="text-center"><img alt="ChIP Sequencing Services" src="https://www.diagenode.com/img/categories/chip_seq/ChIP-seq-success-experiment-WEB.png" /></p>
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'info1' => '<p>In order to provide you with the highest quality data, our ChIP-seq service is composed of two major steps:</p>
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<li><strong>ChIP validation</strong> - during this step we optimize the ChIP conditions that depend on your sample type, target and amount of cells.</li>
<li><strong>ChIP on sample of interest</strong> - once the best ChIP conditions are validated, the samples of interest can be processed.</li>
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<p></p>
<p>ChIP-seq service includes:</p>
<table style="width: 918px;">
<tbody>
<tr style="height: 62px;">
<td style="width: 218px; height: 220px; background-color: #f9f9f9;" rowspan="3"><strong>1. ChIP validation</strong></td>
<td style="width: 417px; height: 62px;"><strong>Chromatin Shearing validation</strong></td>
<td style="width: 568px; height: 62px;">
<ul>
<li>Testing 2 shearing times for each cell type/tissue type</li>
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<tr style="height: 27px;">
<td style="width: 417px; height: 27px; background-color: white;"><strong>ChIP/Ab validation</strong></td>
<td style="width: 417px; height: 27px; background-color: white;">
<ul>
<li>Testing 2 Ab amounts and/or 2 Ab references per target of interest</li>
<li>qPCR analysis if positive and negative control regions can be provided</li>
<li>Library preparation on IPs and INPUTs material</li>
<li>Illumina sequencing run : Paired-end reads, 2x 50 bp, sequencing depth will be adjusted depending on the mark/specie studied</li>
<li>Quality check, alignment to reference genome, identification of enriched regions (peak calling)</li>
</ul>
</td>
</tr>
<tr style="height: 131px;">
<td style="width: 417px; height: 131px;"><strong>Primers design and validation</strong></td>
<td style="width: 568px; height: 131px;">
<ul>
<li>Performed on gDNA based on the data obtained during the ChIP/Ab validation. Those primers will be used for further qPCR validation of the ChIP on the samples of interest</li>
</ul>
</td>
</tr>
<tr style="height: 38px;">
<td style="width: 218px; height: 38px; background-color: white;"></td>
<td style="width: 218px; height: 38px;"></td>
<td style="width: 218px; height: 38px;"></td>
</tr>
<tr style="height: 59px;">
<td style="width: 218px; height: 216px; background-color: #f9f9f9; text-align: center;" rowspan="3"><strong>2. ChIP on sample of interest</strong></td>
<td style="width: 417px; height: 59px;"><strong>Chromatin IP</strong></td>
<td style="width: 568px; height: 59px;">
<ul>
<li>Chromatin shearing</li>
<li>IPs</li>
<li>qPCR analysis using primers that have been validated during the ChIP validation</li>
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</td>
</tr>
<tr style="height: 69px;">
<td style="width: 568px; height: 69px; background-color: white;"><strong>Library Preparation</strong></td>
<td style="width: 568px; height: 69px; background-color: white;">
<ul>
<li>Library preparation and purification on IPs and INPUTs material</li>
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<tr style="height: 88px;">
<td style="width: 417px; height: 88px;"><strong>Sequencing</strong></td>
<td style="width: 568px; height: 88px;">
<ul>
<li>Illumina sequencing run: Paired-end reads, 2x 50 bp, sequencing depth will be adjusted depending on the mark/specie studied</li>
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<p>Exploring the whole transcriptome allows to gain insight of potential transcriptional and regulatory network mechanisms. With <b>Total RNA-seq </b>services, we will sequence the whole transcriptome and record the complete set of RNA transcripts, including mRNAs and long non-coding RNAs, present in a biological sample under specific circumstances. This approach is optimal for finding biomarkers from known transcripts and discover new RNA features.</p>
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<h2>High discovery power with total RNA-seq</h2>
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<p><em>Provided files:</em></p>
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<div class="small-12 medium-12 large-12 columns"><center></center></div>
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<div class="panel"><center><img src="http://www.diagenode.com/img/categories/services/chip-workflow.png" alt="Chromatin-Immunoprecipitation-Diagenode" /></center>
<p>Chromatin consists of DNA, histones and non-histone proteins. Understanding the roles of histones and transcription factors is critical in understanding the regulation of gene expression.</p>
<p>Using ChIP-seq analysis, it is possible to profile histone modifications and transcription factor binding genome-wide to elucidate control of gene expression in disease or in response to a drug treatment. Diagenode’s Epigenomic Profiling Services offer a wide variety of chromatin analysis options through ChIP-seq and ATAC-seq.</p>
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<center><img src="https://www.diagenode.com/img/logo-scientist-registered-supplier.png" /></center></div>
<div class="small-12 medium-8 large-8 columns"><center><img src="http://www.diagenode.com/img/applications/histone-marks-helice.png" alt="Histone-Antibodies-Diagenode" /></center><br href="../p/service-chip-seq" />
<h3><a href="../p/atac-seq-service">ATAC-seq: open chromatin regions</a></h3>
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<h3><a href="../p/service-chip-seq">ChIP-seq Transcription Factors</a></h3>
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<p>Our Epigenomics Profiling Services assure the sample preparation expertise and quality data that you seek. We provide epigenome-wide analyses for understanding epigenetic mechanisms, epigenetics-related drug discovery, transgenerational epigenetics studies, epigenetic biomarker identification (including epigenomic cancer biomarkers), and functional epigenomics. Diagenode offers expert epigenomics services that you can trust for chromatin, DNA, and RNA analysis. </p>
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<h3><span class="green">Chromatin</span> analysis</h3>
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<p><i class="fa fa-arrow-circle-right"></i> <a href="../categories/chip-seq-service">Learn more</a></p>
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<div class="panel" style="border-color: #474546;">
<h3><span class="darkgrey">DNA methylation</span> analysis</h3>
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<li>Whole genome bisulfite sequencing (WGBS)</li>
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<li>Infinium MethylationEPIC array </li>
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<p></p>
<p><i class="fa fa-arrow-circle-right"></i> <a href="../categories/dna-methylation-profiling-services">Learn more</a></p>
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<h3><span class="diacol"><g class="gr_ gr_44 gr-alert gr_spell gr_inline_cards gr_disable_anim_appear ContextualSpelling ins-del multiReplace" id="44" data-gr-id="44">RNA-seq</g></span> analysis</h3>
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<li>mRNA<span style="display: inline !important; float: none; background-color: #f8f8f8; color: #333333; font-family: Helvetica,Arial,sans-serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration: none; text-indent: 0px; text-transform: none; -webkit-text-stroke-width: 0px; white-space: normal; word-spacing: 0px;"> analysis</span></li>
<li>Small non-coding RNA analysis</li>
<li><b></b>Whole transcriptome analysis<br /><br /><br /><br /><br /></li>
</ul>
<p><i class="fa fa-arrow-circle-right"></i> <a href="../categories/rna-seq-category">Learn more</a></p>
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<h2 style="text-align: center;"><a class="details radius small button" href="https://www.diagenode.com/en/documents/services-flyer">DOWNLOAD OUR FLYER</a></h2>
<h2>Why Diagenode</h2>
<ul>
<li><strong>Expertise and trust</strong>: Recognized epigenetics leader, official partner of <a href="http://www.blueprint-epigenome.eu/"><g class="gr_ gr_45 gr-alert gr_spell gr_inline_cards gr_disable_anim_appear ContextualSpelling ins-del multiReplace" id="45" data-gr-id="45">BLUEPRINT</g></a>, <a href="http://ihec-epigenomes.org/">IHEC</a> <g class="gr_ gr_46 gr-alert gr_gramm gr_inline_cards gr_disable_anim_appear Punctuation only-ins replaceWithoutSep" id="46" data-gr-id="46">and</g> <a href="https://www.faang.org/">FAANG</a></li>
<li><strong>Innovative technology</strong>: Utilization of the signature Bioruptor<sup>®</sup> sonication device for optimal chromatin and DNA shearing and the IP-Star<sup>®</sup> Automation device give reproducible and reliable optimization and results</li>
<li><strong>Quality</strong>: Multiple QC steps in all workflows and validated antibodies plus reagents deliver superior data</li>
<li><strong>Flexibility</strong>: Extensive range of sample species and sample origins</li>
<li><strong>Experience</strong> in epigenomics profiling for a wide range of applications and fields of interest</li>
</ul>
<div class="extra-spaced">
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<div class="block-distri"><span class="label-green" style="margin-bottom: 16px; margin-left: -3px;">HUMAN</span><center><img width="260" height="259" alt="services chip-seq - human" src="https://www.diagenode.com/img/categories/services/services-humans.png" caption="false" /></center></div>
</li>
<li>
<div class="block-distri"><span class="label-green" style="margin-bottom: 16px; margin-left: -3px;">ANIMALS</span><center><img width="260" height="259" alt="services chip-seq - animals" src="https://www.diagenode.com/img/categories/services/services-animals.png" caption="false" /></center></div>
</li>
<li>
<div class="block-distri"><span class="label-green" style="margin-bottom: 16px; margin-left: -3px;">PLANTS</span><center><img width="260" height="259" alt="services methylation-plant" src="https://www.diagenode.com/img/categories/services/services-plants.png" caption="false" /></center></div>
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<h2>12 years of expertise and trust in epigenetics</h2>
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<li><strong>End-to-end</strong> epigenetic service</li>
<li><strong>Collaborative</strong> and customized project design</li>
<li>Dedicated <strong>in-house expert</strong> for your project</li>
<li><strong>Integrative</strong> data analysis</li>
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'description' => '<p><span>Inflammatory stresses underlie endothelial dysfunction and contribute to the development of chronic cardiovascular disorders such as atherosclerosis and vascular fibrosis. The initial transcriptional response of endothelial cells to pro-inflammatory cytokines such as TNF-alpha is well established. However, very few studies uncover the effects of inflammatory stresses on chromatin architecture. We used integrative analysis of ATAC-seq and RNA-seq data to investigate chromatin alterations in human endothelial cells in response to TNF-alpha and febrile-range heat stress exposure. Multi-omics data analysis suggests a correlation between the transcription of stress-related genes and endothelial dysfunction drivers with chromatin regions exhibiting differential accessibility. Moreover, microscopy identified the dynamics in the nuclear organization, specifically, the changes in a subset of heterochromatic nucleoli-associated chromatin domains, the centromeres. Upon inflammatory stress exposure, the centromeres decreased association with nucleoli in a p38-dependent manner and increased the number of transcripts from pericentromeric regions. Overall, we provide two lines of evidence that suggest chromatin alterations in vascular endothelial cells during inflammatory stresses.</span></p>',
'date' => '2023-10-16',
'pmid' => 'https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614786/',
'doi' => '10.1101/2023.10.11.561959',
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'authors' => 'Jeffrey Rothstein, James Berry, Clive Svendsen, Leslie Thompson, Steven Finkbeiner, Jennifer Van Eyk, Ernest Fraenkel, Merit Cudkowicz, Nicholas Maragakis, Dhruv Sareen, Raquel Norel, Victoria Dardov, Alyssa Coyne, Aaron Frank, Andrea Matlock',
'description' => '<p><span>Answer ALS is a comprehensive multi-omics approach to ALS to ascertain, at a population level, the various clinical-molecular- biochemical subtypes of sporadic ALS. This national program enrolled 1046 ALS and ALS/FTD patients along with a cohort of 100 matched control patients followed longitudinally over at least one year. A smartphone-based app was employed to collect deep clinical data including fine motor activity, speech, breathing and linguistics/cognition. Analytics of the speech patterns revealed a strong correlation between clinical progression indices and speech. In parallel, blood-derived iPS motor neurons were generated from each patient and the cells underwent multi-omics analytics including whole genome sequencing, RNA transcriptomics, ATAC-Seq and proteome along with quality assurance standards. HIPPA compliant cloud data bases were employed to store all data. There are more than 6 billion clinical and molecular data points per patient generated in the program. The program was designed, and patient consented, to be open access to all clinical, biological and molecular data as well as public release of all generated iPS cell lines. A web portal is available to academics as well as commercial researchers. The ultimate intent of this data is for the generation of Integrated clinical and biological signatures using bioinformatics, statistics and computational biology to establish patterns that may lead to a better understanding of the underlying mechanisms of disease including subgroup identification. Overall, this community based clinical and science program provides for the identification of distinct reliably identifiable subgroups among the sporadic and familial patients and the great utility in iPS based approaches to disease pathophysiology and therapy discovery. Although the data is ALS centric, given the large number of both ALS and control data sets, it would also be enormously useful to others studying frontotemporal dementia, Alzheimer’s, Parkinson’s disease and others.</span></p>',
'date' => '2022-02-03',
'pmid' => 'https://pubmed.ncbi.nlm.nih.gov/35115730/',
'doi' => '10.1038/s41593-021-01006-0',
'modified' => '2022-02-09 16:40:32',
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<h6 style="height:60px">Bioinformatics Data Mining Service</h6>
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<h3>Get a quote</h3><p class="lead">You are about to request a quote for <strong>our epigenomics services</strong>. Fill out the form below and we will be in touch with you very soon.</p><p><small>All <span style="font-size:16px;color:red;">*</span> fields are mandatory</small></p>
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<form action="/cn/quotes/quote?id=2681" id="Quote-2681" class="quote" method="post" accept-charset="utf-8"><div style="display:none;"><input type="hidden" name="_method" value="POST"/></div><input type="hidden" name="data[Quote][product_id]" value="2681" id="QuoteProductId"/><input type="hidden" name="data[Quote][formLoaded6tY4bPYk]" value="MTVnNFUvbDRvb2wwdW9iMVMrRjU3UT09" id="QuoteFormLoaded6tY4bPYk"/><input type="hidden" name="data[Quote][product_rfq_tag]" value="service-chip-seq" id="QuoteProductRfqTag"/><input type="hidden" name="data[Quote][source_quote]" value="modal quote" id="QuoteSourceQuote"/>
<div class="row collapse">
<h2>Service Information</h2>
</div>
<div class="small-12 large-12 columns">
<h4>Which services are you interested in?</h4>
</div>
<div class="small-12 large-12 columns">
<input type="hidden" name="data[Quote][epigenomics_service]" value="" id="QuoteEpigenomicsService"/>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="ChIP-seq" id="QuoteEpigenomicsServiceChIPSeq" /><label for="QuoteEpigenomicsServiceChIPSeq">ChIP-seq</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="ATAC-seq" id="QuoteEpigenomicsServiceATACSeq" /><label for="QuoteEpigenomicsServiceATACSeq">ATAC-seq</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="RRBS" id="QuoteEpigenomicsServiceRRBS" /><label for="QuoteEpigenomicsServiceRRBS">RRBS</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="WGBS" id="QuoteEpigenomicsServiceWGBS" /><label for="QuoteEpigenomicsServiceWGBS">WGBS</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="MeDIP-seq" id="QuoteEpigenomicsServiceMeDIPSeq" /><label for="QuoteEpigenomicsServiceMeDIPSeq">MeDIP-seq</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Targeted DNA methylation analysis" id="QuoteEpigenomicsServiceTargetedDNAMethylationAnalysis" /><label for="QuoteEpigenomicsServiceTargetedDNAMethylationAnalysis">Targeted DNA methylation analysis</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Infinium MethylationEPIC Array v2" id="QuoteEpigenomicsServiceInfiniumMethylationEPICArrayV2" /><label for="QuoteEpigenomicsServiceInfiniumMethylationEPICArrayV2">Infinium MethylationEPIC Array v2</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Infinium Mouse Methylation Array" id="QuoteEpigenomicsServiceInfiniumMouseMethylationArray" /><label for="QuoteEpigenomicsServiceInfiniumMouseMethylationArray">Infinium Mouse Methylation Array</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="RNA-seq" id="QuoteEpigenomicsServiceRNASeq" /><label for="QuoteEpigenomicsServiceRNASeq">RNA-seq</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Bioinformatics" id="QuoteEpigenomicsServiceBioinformatics" /><label for="QuoteEpigenomicsServiceBioinformatics">Bioinformatics</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Data mining" id="QuoteEpigenomicsServiceDataMining" /><label for="QuoteEpigenomicsServiceDataMining">Data mining</label></div>
<div class="checkbox"><input type="checkbox" name="data[Quote][epigenomics_service][]" value="Human Methylome" id="QuoteEpigenomicsServiceHumanMethylome" /><label for="QuoteEpigenomicsServiceHumanMethylome">Human Methylome</label></div>
</div>
<div class="row collapse">
<div class="small-12 medium-12 large-3 columns">
<span class="prefix">Sample species</span>
</div>
<div class="small-12 medium-12 large-9 columns">
<input name="data[Quote][sample_species]" maxlength="510" type="text" id="QuoteSampleSpecies"/> </div>
</div>
<div class="row collapse">
<div class="small-12 medium-12 large-6 columns">
<span class="prefix">Total number of samples (including replicates)</span>
</div>
<div class="small-12 medium-12 large-6 columns">
<input name="data[Quote][number_samples]" maxlength="255" type="text" id="QuoteNumberSamples"/> </div>
</div>
<div class="row collapse">
<h2>Contact Information</h2>
<div class="small-3 large-2 columns">
<span class="prefix">First name <sup style="font-size:16px;color:red;">*</sup></span>
</div>
<div class="small-9 large-10 columns">
<input name="data[Quote][first_name]" placeholder="john" maxlength="255" type="text" id="QuoteFirstName" required="required"/> </div>
</div>
<div class="row collapse">
<div class="small-3 large-2 columns">
<span class="prefix">Last name <sup style="font-size:16px;color:red;">*</sup></span>
</div>
<div class="small-9 large-10 columns">
<input name="data[Quote][last_name]" placeholder="doe" maxlength="255" type="text" id="QuoteLastName" required="required"/> </div>
</div>
<div class="row collapse">
<div class="small-3 large-2 columns">
<span class="prefix">Company <sup style="font-size:16px;color:red;">*</sup></span>
</div>
<div class="small-9 large-10 columns">
<input name="data[Quote][company]" placeholder="Organisation / Institute" maxlength="255" type="text" id="QuoteCompany" required="required"/> </div>
</div>
<div class="row collapse">
<div class="small-3 large-2 columns">
<span class="prefix">Phone number</span>
</div>
<div class="small-9 large-10 columns">
<input name="data[Quote][phone_number]" placeholder="+1 862 209-4680" maxlength="255" type="text" id="QuotePhoneNumber"/> </div>
</div>
<div class="row collapse">
<div class="small-3 large-2 columns">
<span class="prefix">City</span>
</div>
<div class="small-9 large-10 columns">
<input name="data[Quote][city]" placeholder="Denville" maxlength="255" type="text" id="QuoteCity"/> </div>
</div>
<div class="row collapse">
<div class="small-3 large-2 columns">
<span class="prefix">Country <sup style="font-size:16px;color:red;">*</sup></span>
</div>
<div class="small-9 large-10 columns">
<select name="data[Quote][country]" required="required" class="triggers" id="country_selector_quote-2681">
<option value="">-- select a country --</option>
<option value="AF">Afghanistan</option>
<option value="AX">Åland Islands</option>
<option value="AL">Albania</option>
<option value="DZ">Algeria</option>
<option value="AS">American Samoa</option>
<option value="AD">Andorra</option>
<option value="AO">Angola</option>
<option value="AI">Anguilla</option>
<option value="AQ">Antarctica</option>
<option value="AG">Antigua and Barbuda</option>
<option value="AR">Argentina</option>
<option value="AM">Armenia</option>
<option value="AW">Aruba</option>
<option value="AU">Australia</option>
<option value="AT">Austria</option>
<option value="AZ">Azerbaijan</option>
<option value="BS">Bahamas</option>
<option value="BH">Bahrain</option>
<option value="BD">Bangladesh</option>
<option value="BB">Barbados</option>
<option value="BY">Belarus</option>
<option value="BE">Belgium</option>
<option value="BZ">Belize</option>
<option value="BJ">Benin</option>
<option value="BM">Bermuda</option>
<option value="BT">Bhutan</option>
<option value="BO">Bolivia</option>
<option value="BQ">Bonaire, Sint Eustatius and Saba</option>
<option value="BA">Bosnia and Herzegovina</option>
<option value="BW">Botswana</option>
<option value="BV">Bouvet Island</option>
<option value="BR">Brazil</option>
<option value="IO">British Indian Ocean Territory</option>
<option value="BN">Brunei Darussalam</option>
<option value="BG">Bulgaria</option>
<option value="BF">Burkina Faso</option>
<option value="BI">Burundi</option>
<option value="KH">Cambodia</option>
<option value="CM">Cameroon</option>
<option value="CA">Canada</option>
<option value="CV">Cape Verde</option>
<option value="KY">Cayman Islands</option>
<option value="CF">Central African Republic</option>
<option value="TD">Chad</option>
<option value="CL">Chile</option>
<option value="CN">China</option>
<option value="CX">Christmas Island</option>
<option value="CC">Cocos (Keeling) Islands</option>
<option value="CO">Colombia</option>
<option value="KM">Comoros</option>
<option value="CG">Congo</option>
<option value="CD">Congo, The Democratic Republic of the</option>
<option value="CK">Cook Islands</option>
<option value="CR">Costa Rica</option>
<option value="CI">Côte d'Ivoire</option>
<option value="HR">Croatia</option>
<option value="CU">Cuba</option>
<option value="CW">Curaçao</option>
<option value="CY">Cyprus</option>
<option value="CZ">Czech Republic</option>
<option value="DK">Denmark</option>
<option value="DJ">Djibouti</option>
<option value="DM">Dominica</option>
<option value="DO">Dominican Republic</option>
<option value="EC">Ecuador</option>
<option value="EG">Egypt</option>
<option value="SV">El Salvador</option>
<option value="GQ">Equatorial Guinea</option>
<option value="ER">Eritrea</option>
<option value="EE">Estonia</option>
<option value="ET">Ethiopia</option>
<option value="FK">Falkland Islands (Malvinas)</option>
<option value="FO">Faroe Islands</option>
<option value="FJ">Fiji</option>
<option value="FI">Finland</option>
<option value="FR">France</option>
<option value="GF">French Guiana</option>
<option value="PF">French Polynesia</option>
<option value="TF">French Southern Territories</option>
<option value="GA">Gabon</option>
<option value="GM">Gambia</option>
<option value="GE">Georgia</option>
<option value="DE">Germany</option>
<option value="GH">Ghana</option>
<option value="GI">Gibraltar</option>
<option value="GR">Greece</option>
<option value="GL">Greenland</option>
<option value="GD">Grenada</option>
<option value="GP">Guadeloupe</option>
<option value="GU">Guam</option>
<option value="GT">Guatemala</option>
<option value="GG">Guernsey</option>
<option value="GN">Guinea</option>
<option value="GW">Guinea-Bissau</option>
<option value="GY">Guyana</option>
<option value="HT">Haiti</option>
<option value="HM">Heard Island and McDonald Islands</option>
<option value="VA">Holy See (Vatican City State)</option>
<option value="HN">Honduras</option>
<option value="HK">Hong Kong</option>
<option value="HU">Hungary</option>
<option value="IS">Iceland</option>
<option value="IN">India</option>
<option value="ID">Indonesia</option>
<option value="IR">Iran, Islamic Republic of</option>
<option value="IQ">Iraq</option>
<option value="IE">Ireland</option>
<option value="IM">Isle of Man</option>
<option value="IL">Israel</option>
<option value="IT">Italy</option>
<option value="JM">Jamaica</option>
<option value="JP">Japan</option>
<option value="JE">Jersey</option>
<option value="JO">Jordan</option>
<option value="KZ">Kazakhstan</option>
<option value="KE">Kenya</option>
<option value="KI">Kiribati</option>
<option value="KP">Korea, Democratic People's Republic of</option>
<option value="KR">Korea, Republic of</option>
<option value="KW">Kuwait</option>
<option value="KG">Kyrgyzstan</option>
<option value="LA">Lao People's Democratic Republic</option>
<option value="LV">Latvia</option>
<option value="LB">Lebanon</option>
<option value="LS">Lesotho</option>
<option value="LR">Liberia</option>
<option value="LY">Libya</option>
<option value="LI">Liechtenstein</option>
<option value="LT">Lithuania</option>
<option value="LU">Luxembourg</option>
<option value="MO">Macao</option>
<option value="MK">Macedonia, Republic of</option>
<option value="MG">Madagascar</option>
<option value="MW">Malawi</option>
<option value="MY">Malaysia</option>
<option value="MV">Maldives</option>
<option value="ML">Mali</option>
<option value="MT">Malta</option>
<option value="MH">Marshall Islands</option>
<option value="MQ">Martinique</option>
<option value="MR">Mauritania</option>
<option value="MU">Mauritius</option>
<option value="YT">Mayotte</option>
<option value="MX">Mexico</option>
<option value="FM">Micronesia, Federated States of</option>
<option value="MD">Moldova</option>
<option value="MC">Monaco</option>
<option value="MN">Mongolia</option>
<option value="ME">Montenegro</option>
<option value="MS">Montserrat</option>
<option value="MA">Morocco</option>
<option value="MZ">Mozambique</option>
<option value="MM">Myanmar</option>
<option value="NA">Namibia</option>
<option value="NR">Nauru</option>
<option value="NP">Nepal</option>
<option value="NL">Netherlands</option>
<option value="NC">New Caledonia</option>
<option value="NZ">New Zealand</option>
<option value="NI">Nicaragua</option>
<option value="NE">Niger</option>
<option value="NG">Nigeria</option>
<option value="NU">Niue</option>
<option value="NF">Norfolk Island</option>
<option value="MP">Northern Mariana Islands</option>
<option value="NO">Norway</option>
<option value="OM">Oman</option>
<option value="PK">Pakistan</option>
<option value="PW">Palau</option>
<option value="PS">Palestine, State of</option>
<option value="PA">Panama</option>
<option value="PG">Papua New Guinea</option>
<option value="PY">Paraguay</option>
<option value="PE">Peru</option>
<option value="PH">Philippines</option>
<option value="PN">Pitcairn</option>
<option value="PL">Poland</option>
<option value="PT">Portugal</option>
<option value="PR">Puerto Rico</option>
<option value="QA">Qatar</option>
<option value="RE">Réunion</option>
<option value="RO">Romania</option>
<option value="RU">Russian Federation</option>
<option value="RW">Rwanda</option>
<option value="BL">Saint Barthélemy</option>
<option value="SH">Saint Helena, Ascension and Tristan da Cunha</option>
<option value="KN">Saint Kitts and Nevis</option>
<option value="LC">Saint Lucia</option>
<option value="MF">Saint Martin (French part)</option>
<option value="PM">Saint Pierre and Miquelon</option>
<option value="VC">Saint Vincent and the Grenadines</option>
<option value="WS">Samoa</option>
<option value="SM">San Marino</option>
<option value="ST">Sao Tome and Principe</option>
<option value="SA">Saudi Arabia</option>
<option value="SN">Senegal</option>
<option value="RS">Serbia</option>
<option value="SC">Seychelles</option>
<option value="SL">Sierra Leone</option>
<option value="SG">Singapore</option>
<option value="SX">Sint Maarten (Dutch part)</option>
<option value="SK">Slovakia</option>
<option value="SI">Slovenia</option>
<option value="SB">Solomon Islands</option>
<option value="SO">Somalia</option>
<option value="ZA">South Africa</option>
<option value="GS">South Georgia and the South Sandwich Islands</option>
<option value="ES">Spain</option>
<option value="LK">Sri Lanka</option>
<option value="SD">Sudan</option>
<option value="SR">Suriname</option>
<option value="SS">South Sudan</option>
<option value="SJ">Svalbard and Jan Mayen</option>
<option value="SZ">Swaziland</option>
<option value="SE">Sweden</option>
<option value="CH">Switzerland</option>
<option value="SY">Syrian Arab Republic</option>
<option value="TW">Taiwan</option>
<option value="TJ">Tajikistan</option>
<option value="TZ">Tanzania</option>
<option value="TH">Thailand</option>
<option value="TL">Timor-Leste</option>
<option value="TG">Togo</option>
<option value="TK">Tokelau</option>
<option value="TO">Tonga</option>
<option value="TT">Trinidad and Tobago</option>
<option value="TN">Tunisia</option>
<option value="TR">Turkey</option>
<option value="TM">Turkmenistan</option>
<option value="TC">Turks and Caicos Islands</option>
<option value="TV">Tuvalu</option>
<option value="UG">Uganda</option>
<option value="UA">Ukraine</option>
<option value="AE">United Arab Emirates</option>
<option value="GB">United Kingdom</option>
<option value="US" selected="selected">United States</option>
<option value="UM">United States Minor Outlying Islands</option>
<option value="UY">Uruguay</option>
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</div>
</div>
<div class="small-12 columns" >
<h6 style="height:60px">ChIP-seq/ChIP-qPCR Profiling service</h6>
</div>
</div>
</li>
<li>
<div class="row">
<div class="small-12 columns">
<a href="/cn/p/rna-seq-services"><img src="/img/grey-logo.jpg" alt="default alt" class="th"/></a> </div>
<div class="small-12 columns">
<div class="small-6 columns" style="padding-left:0px;padding-right:0px;margin-top:-6px;margin-left:-1px">
<span class="success label" style="">G02030000</span>
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<div class="small-6 columns text-right" style="padding-left:0px;padding-right:0px;margin-top:-6px">
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<div class="row">
<div class="small-12 medium-12 large-12 columns">
<h3>Get a quote</h3><p class="lead">You are about to request a quote for <strong>RNA-seq services</strong>. Fill out the form below and we will be in touch with you very soon.</p><p><small>All <span style="font-size:16px;color:red;">*</span> fields are mandatory</small></p>
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</div>
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<option value="GM">Gambia</option>
<option value="GE">Georgia</option>
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<option value="GP">Guadeloupe</option>
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<option value="GT">Guatemala</option>
<option value="GG">Guernsey</option>
<option value="GN">Guinea</option>
<option value="GW">Guinea-Bissau</option>
<option value="GY">Guyana</option>
<option value="HT">Haiti</option>
<option value="HM">Heard Island and McDonald Islands</option>
<option value="VA">Holy See (Vatican City State)</option>
<option value="HN">Honduras</option>
<option value="HK">Hong Kong</option>
<option value="HU">Hungary</option>
<option value="IS">Iceland</option>
<option value="IN">India</option>
<option value="ID">Indonesia</option>
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<option value="IQ">Iraq</option>
<option value="IE">Ireland</option>
<option value="IM">Isle of Man</option>
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<p>Exploring the whole transcriptome allows to gain insight of potential transcriptional and regulatory network mechanisms. With <b>Total RNA-seq </b>services, we will sequence the whole transcriptome and record the complete set of RNA transcripts, including mRNAs and long non-coding RNAs, present in a biological sample under specific circumstances. This approach is optimal for finding biomarkers from known transcripts and discover new RNA features.</p>
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'id' => '4097',
'name' => ' Answer ALS: A Large-Scale Resource for Sporadic and Familial ALS Combining Clinical Data with Multi-Omics Data from Induced Pluripotent Cell Lines',
'authors' => 'Jeffrey Rothstein, James Berry, Clive Svendsen, Leslie Thompson, Steven Finkbeiner, Jennifer Van Eyk, Ernest Fraenkel, Merit Cudkowicz, Nicholas Maragakis, Dhruv Sareen, Raquel Norel, Victoria Dardov, Alyssa Coyne, Aaron Frank, Andrea Matlock',
'description' => '<p><span>Answer ALS is a comprehensive multi-omics approach to ALS to ascertain, at a population level, the various clinical-molecular- biochemical subtypes of sporadic ALS. This national program enrolled 1046 ALS and ALS/FTD patients along with a cohort of 100 matched control patients followed longitudinally over at least one year. A smartphone-based app was employed to collect deep clinical data including fine motor activity, speech, breathing and linguistics/cognition. Analytics of the speech patterns revealed a strong correlation between clinical progression indices and speech. In parallel, blood-derived iPS motor neurons were generated from each patient and the cells underwent multi-omics analytics including whole genome sequencing, RNA transcriptomics, ATAC-Seq and proteome along with quality assurance standards. HIPPA compliant cloud data bases were employed to store all data. There are more than 6 billion clinical and molecular data points per patient generated in the program. The program was designed, and patient consented, to be open access to all clinical, biological and molecular data as well as public release of all generated iPS cell lines. A web portal is available to academics as well as commercial researchers. The ultimate intent of this data is for the generation of Integrated clinical and biological signatures using bioinformatics, statistics and computational biology to establish patterns that may lead to a better understanding of the underlying mechanisms of disease including subgroup identification. Overall, this community based clinical and science program provides for the identification of distinct reliably identifiable subgroups among the sporadic and familial patients and the great utility in iPS based approaches to disease pathophysiology and therapy discovery. Although the data is ALS centric, given the large number of both ALS and control data sets, it would also be enormously useful to others studying frontotemporal dementia, Alzheimer’s, Parkinson’s disease and others.</span></p>',
'date' => '2022-02-03',
'pmid' => 'https://pubmed.ncbi.nlm.nih.gov/35115730/',
'doi' => '10.1038/s41593-021-01006-0',
'modified' => '2022-02-09 16:40:32',
'created' => '2021-04-07 10:26:36',
'ProductsPublication' => array(
'id' => '5123',
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'publication_id' => '4097'
)
)
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