MeDIP-seq service (Methylated DNA IP Sequencing)

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			'description' => '<p>Methylated DNA immunoprecipitation sequencing (<strong>MeDIP-Seq</strong>) is used to study 5-mC genome-wide. In this assay, specific antibodies against 5-mC are used to capture methylated DNA regions using an immunoprecipitation assay. The enrichment of methylated DNA in the immunoprecipitated fraction is determined by sequencing to assess the methylation state of individual regions.&nbsp;</p>
<h4><span style="font-weight: 400;">Excellent method for qualitative analysis of DNA methylation profiles<br /></span></h4>
<ul>
<ul style="list-style-type: disc;">
<li style="font-weight: 400;">Resolution of 100-500 bp</li>
<li style="font-weight: 400;">5-mC coverage in low density and highly repetitive regions</li>
<li style="font-weight: 400;">Antibody-based approach independent of sequence with high specificity and minimal bias</li>
<li style="font-weight: 400;">Dedicated scientist handles your project with high touch communication</li>
<li style="font-weight: 400;">Comprehensive service &ndash; Immunoprecipitation, library preparation, sequencing, and analysis</li>
</ul>
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<p><b></b></p>
<p></p>
<h4><span style="font-weight: 400;">&nbsp;</span></h4>
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<p></p>
<table style="width: 942px;">
<tbody>
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<td style="width: 411px;">
<p><span style="font-weight: 400;">QC of the genomic DNA</span></p>
</td>
<td style="width: 523px;">
<ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">Measurement of DNA concentration </span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Assessment of &nbsp;DNA quality </span></li>
</ul>
</td>
</tr>
<tr>
<td style="width: 411px;">
<p><span style="font-weight: 400;">Preparation of MeDIP-seq libraries*</span></p>
</td>
<td style="width: 523px;">
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<li style="font-weight: 400;"><span style="font-weight: 400;">gDNA shearing on Bioruptor&reg; Pico &nbsp;</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Library preparation</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Immunoprecipitation of methylated DNA using Abs specific to 5-mC</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Library amplification and clean-up &nbsp;</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">QC of the MeDIP-seq libraries</span></li>
</ul>
</td>
</tr>
<tr>
<td style="width: 411px;">
<p><span style="font-weight: 400;">Deep sequencing</span></p>
</td>
<td style="width: 523px;">
<ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">Samples are sequencedon an Illumina platform &nbsp;</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Single-read or paired-end &nbsp;</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">50bp to 150bp read length &nbsp;</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Greater than or equal to 50M reads per sample</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Coverage to be defined with customer</span></li>
</ul>
</td>
</tr>
</tbody>
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<p><span style="font-weight: 400;">*Full protocol details can be viewed in the </span><a href="https://www.diagenode.com/en/documents/magmedip-seq-package-manual"><span style="font-weight: 400;">MagMeDIP-seq Package manual</span></a></p>
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<h4><span style="font-weight: 400;">Excellent method for qualitative analysis of DNA methylation profiles<br /></span></h4>
<ul>
<ul style="list-style-type: disc;">
<li style="font-weight: 400;">Resolution of 100-500 bp</li>
<li style="font-weight: 400;">5-mC coverage in low density and highly repetitive regions</li>
<li style="font-weight: 400;">Antibody-based approach independent of sequence with high specificity and minimal bias</li>
<li style="font-weight: 400;">Dedicated scientist handles your project with high touch communication</li>
<li style="font-weight: 400;">Comprehensive service &ndash; Immunoprecipitation, library preparation, sequencing, and analysis</li>
</ul>
</ul>
<p><b></b></p>
<p></p>
<h4><span style="font-weight: 400;">&nbsp;</span></h4>
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<p></p>
<table style="width: 942px;">
<tbody>
<tr>
<td style="width: 411px;">
<p><span style="font-weight: 400;">QC of the genomic DNA</span></p>
</td>
<td style="width: 523px;">
<ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">Measurement of DNA concentration </span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Assessment of &nbsp;DNA quality </span></li>
</ul>
</td>
</tr>
<tr>
<td style="width: 411px;">
<p><span style="font-weight: 400;">Preparation of MeDIP-seq libraries*</span></p>
</td>
<td style="width: 523px;">
<ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">gDNA shearing on Bioruptor&reg; Pico &nbsp;</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Library preparation</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Immunoprecipitation of methylated DNA using Abs specific to 5-mC</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Library amplification and clean-up &nbsp;</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">QC of the MeDIP-seq libraries</span></li>
</ul>
</td>
</tr>
<tr>
<td style="width: 411px;">
<p><span style="font-weight: 400;">Deep sequencing</span></p>
</td>
<td style="width: 523px;">
<ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">Samples are sequencedon an Illumina platform &nbsp;</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Single-read or paired-end &nbsp;</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">50bp to 150bp read length &nbsp;</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Greater than or equal to 50M reads per sample</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Coverage to be defined with customer</span></li>
</ul>
</td>
</tr>
</tbody>
</table>
<p><span style="font-weight: 400;">*Full protocol details can be viewed in the </span><a href="https://www.diagenode.com/en/documents/magmedip-seq-package-manual"><span style="font-weight: 400;">MagMeDIP-seq Package manual</span></a></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>
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<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>
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<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 &ldquo;finding a needle in a haystack.&rdquo;</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>
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<p>&nbsp;</p>
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<li><strong>Data Interpretation</strong></li>
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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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<div class="panel"><center><img src="http://www.diagenode.com/img/categories/services/dna-workflow.png" alt="DNA-methylation -Diagenode" /></center>
<p>DNAメチル化およびヒストン修飾のパターンは、細胞機能を維持する上で不可欠な役割を果たします。 異常なDNAメチル化 - 過剰メチル化および低メチル化 - は、癌または他の疾患のような有害転帰をもたらし得ます。ゲノムワイドDNAメチル化分析による5-mCの定量化は、疾患の検出および予後のための情報を提供することが可能です。 DiagenodeのDNAメチル化解析サービスは、あらゆる種のゲノムDNAメチル化解析の標的となる全ゲノムDNAメチル化解析用の多数のバイサルファイトシークエンシングオプションをご提供いたします。</p>
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<p>エピゲノミクスプロファイリングサービスは、全ゲノムまたは遺伝子スケールのDNAメチル化のニーズに応じた最適なソリューションをご提案し、DNAメチル化（5-mC）およびメチル化変異体（5-hmC）研究をサポートします。DNAシーケンスのためのライブラリー調製やアレイから高品質のデータをお届けし、当社のバイオインフォマティクスの専門チームがお客様の研究内容に合わせて、カスタマイズされた解析を含む包括的なサービスを提供します。<br /><br /></p>
<h3><a href="https://www.diagenode.com/jp/p/infinium-methylation-epic-array-service">Infinium MethylationEPIC&nbsp;Array Service</a></h3>
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<li><span><a href="https://www.diagenode.com/jp/categories/bioinformatics-service">バイオインフォマティクスツール</a></span>によるDifferentially methylated site解析</li>
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<li>単一ヌクレオチド分解能で285,000を超えるマウスCpG位置</li>
<li>一般的な実験用マウス系に適応</li>
<li><span><a href="https://www.diagenode.com/jp/categories/bioinformatics-service">バイオインフォマティクスツール</a></span>によるDifferentially methylated site解析</li>
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<h3><a href="https://www.diagenode.com/jp/p/rrbs-service">Reduced Representation Bisulfite Sequencing (RRBS) サービス</a></h3>
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<li>単一ヌクレオチド分解能で最大500万か所のCpG部位をカバー（ヒトサンプル）</li>
<li>全ゲノム上CpG-rich部位とプロモーターのメチレーションパターン解析</li>
<li><span><a href="https://www.diagenode.com/jp/categories/bioinformatics-service">バイオインフォマティクスツール</a></span>によるDifferentially methylated site解析</li>
<li>エピジェネティックなバイオマーカーの探索に最適</li>
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<h3><a href="https://www.diagenode.com/jp/p/wgbs-service">Whole Genome Bisulfite Sequencing (WGBS)&nbsp;Service</a></h3>
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<li>単一塩基分解能で全ゲノムのほぼ全てのCpG部位のメチル化状態を評価</li>
<li>全ゲノム上CpG-rich部位とプロモーターのメチレーションパターン解析</li>
<li><a href="https://www.diagenode.com/jp/categories/bioinformatics-service">バイオインフォマティックスツールによるゲノムにわたるCpG、CHGおよびCHH領域のメチル化パターン解析</a></li>
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<h3><a href="https://www.diagenode.com/jp/p/targeted-dna-methylation-service">Targeted&nbsp;Bisulfite Sequencing Service</a></h3>
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<h3><a href="../p/medip-seq-service">MeDIP</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.&nbsp;</p>
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<h3><span class="green">Chromatin</span>&nbsp;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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<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>Small non-coding RNA analysis</li>
<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>&reg;</sup> sonication device for optimal chromatin and DNA shearing and the IP-Star<sup>&reg;</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>
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            <h6 style="height:60px">Bioinformatics Data Mining Service</h6>
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'
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	'id' => '3022',
	'antibody_id' => null,
	'name' => 'Bioinformatics Data Mining Service',
	'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>
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<li><a href="#panel1" class="tips portal button">Smokers vs non-smokers </a></li>
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<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>
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<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 &ldquo;finding a needle in a haystack.&rdquo;</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>
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<td>
<p>DNA Methylation (RRBS, WGBS, EPIC arrays)</p>
<p>ChIP-sequencing</p>
<p>ATAC-seq</p>
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<td>
<p>mRNA-sequencing</p>
<p>Small and long non coding RNA</p>
<p>Single-cell RNA-sequencing</p>
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<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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			'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>
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<li><a href="#panel1" class="tips portal button">Smokers vs non-smokers </a></li>
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<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>
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<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 &ldquo;finding a needle in a haystack.&rdquo;</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>
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<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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<div class="small-12 medium-4 large-4 columns">
<div class="panel"><center><img src="http://www.diagenode.com/img/categories/services/dna-workflow.png" alt="DNA-methylation -Diagenode" /></center>
<p>DNAメチル化およびヒストン修飾のパターンは、細胞機能を維持する上で不可欠な役割を果たします。 異常なDNAメチル化 - 過剰メチル化および低メチル化 - は、癌または他の疾患のような有害転帰をもたらし得ます。ゲノムワイドDNAメチル化分析による5-mCの定量化は、疾患の検出および予後のための情報を提供することが可能です。 DiagenodeのDNAメチル化解析サービスは、あらゆる種のゲノムDNAメチル化解析の標的となる全ゲノムDNAメチル化解析用の多数のバイサルファイトシークエンシングオプションをご提供いたします。</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">
<p>エピゲノミクスプロファイリングサービスは、全ゲノムまたは遺伝子スケールのDNAメチル化のニーズに応じた最適なソリューションをご提案し、DNAメチル化（5-mC）およびメチル化変異体（5-hmC）研究をサポートします。DNAシーケンスのためのライブラリー調製やアレイから高品質のデータをお届けし、当社のバイオインフォマティクスの専門チームがお客様の研究内容に合わせて、カスタマイズされた解析を含む包括的なサービスを提供します。<br /><br /></p>
<h3><a href="https://www.diagenode.com/jp/p/infinium-methylation-epic-array-service">Infinium MethylationEPIC&nbsp;Array Service</a></h3>
<ul>
<li>所要時間の短縮、高いコストパフォーマンス</li>
<li>単一ヌクレオチド分解能で850,000を超えるヒトCpG位置</li>
<li>CpG、非CpG、およびCHH部位のメチル化部位の定量分析</li>
<li><span><a href="https://www.diagenode.com/jp/categories/bioinformatics-service">バイオインフォマティクスツール</a></span>によるDifferentially methylated site解析</li>
</ul>
<h3><a href="https://www.diagenode.com/jp/p/infinium-mouse-methylation-array-service">Infinium Mouse Methylation Array Service</a></h3>
<ul>
<li>費用対効果が高いソリューション、所要時間の短縮</li>
<li>単一ヌクレオチド分解能で285,000を超えるマウスCpG位置</li>
<li>一般的な実験用マウス系に適応</li>
<li><span><a href="https://www.diagenode.com/jp/categories/bioinformatics-service">バイオインフォマティクスツール</a></span>によるDifferentially methylated site解析</li>
</ul>
<h3><a href="https://www.diagenode.com/jp/p/rrbs-service">Reduced Representation Bisulfite Sequencing (RRBS) サービス</a></h3>
<ul>
<li>結果に自信のある堅牢で費用効果の高いソリューション</li>
<li>単一ヌクレオチド分解能で最大500万か所のCpG部位をカバー（ヒトサンプル）</li>
<li>全ゲノム上CpG-rich部位とプロモーターのメチレーションパターン解析</li>
<li><span><a href="https://www.diagenode.com/jp/categories/bioinformatics-service">バイオインフォマティクスツール</a></span>によるDifferentially methylated site解析</li>
<li>エピジェネティックなバイオマーカーの探索に最適</li>
</ul>
<h3><a href="https://www.diagenode.com/jp/p/wgbs-service">Whole Genome Bisulfite Sequencing (WGBS)&nbsp;Service</a></h3>
<ul>
<li>ゲノムワイドなバイオマーカー検索ための非常に強力なソリューション</li>
<li>単一塩基分解能で全ゲノムのほぼ全てのCpG部位のメチル化状態を評価</li>
<li>全ゲノム上CpG-rich部位とプロモーターのメチレーションパターン解析</li>
<li><a href="https://www.diagenode.com/jp/categories/bioinformatics-service">バイオインフォマティックスツールによるゲノムにわたるCpG、CHGおよびCHH領域のメチル化パターン解析</a></li>
</ul>
<h3><a href="https://www.diagenode.com/jp/p/targeted-dna-methylation-service">Targeted&nbsp;Bisulfite Sequencing Service</a></h3>
<ul>
<li>Focus on D<span>NA methylation patterning of selective regions with single nucleotide resolution</span></li>
<li><span>Choose between two methodologies depending on the size of the region of interest: PCR enrichment or hybridization capture</span></li>
<li><span>Enhanced accuracy, sensitivity and specificity while reducing overall cost</span></li>
<li><span>Allowing deep sequencing at high coverage levels for rare variant identification</span></li>
</ul>
<h3><a href="../p/medip-seq-service">MeDIP</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.&nbsp;</p>
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<div class="small-12 medium-2 large-2 columns text-left"><img src="https://www.diagenode.com/img/logo-scientist-registered-supplier.png" /></div>
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<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>&nbsp;analysis</h3>
<ul>
<li>ChIP-seq analysis Histone modification</li>
<li>Promoter analysis</li>
<li>Enhancer analysis</li>
<li>ChIP-seq analysis Transcription factor&nbsp;</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&nbsp;</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>
</div>
</div>
</div>
<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>&reg;</sup> sonication device for optimal chromatin and DNA shearing and the IP-Star<sup>&reg;</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>
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<li>Dedicated <strong>in-house expert</strong> for your project</li>
<li><strong>Integrative</strong> data analysis</li>
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            <h6 style="height:60px">Bioinformatics Data Mining Service</h6>
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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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<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 &ldquo;finding a needle in a haystack.&rdquo;</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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<li>RNA-seq analysis</li>
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include - APP/View/Products/view.ctp, line 755
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View::render() - CORE/Cake/View/View.php, line 473
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Notice (8): Undefined variable: message [APP/View/Products/view.ctp, line 755]
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<h4><span style="font-weight: 400;">Excellent method for qualitative analysis of DNA methylation profiles<br /></span></h4>
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<li style="font-weight: 400;"><span style="font-weight: 400;">50bp to 150bp read length &nbsp;</span></li>
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<p><span style="font-weight: 400;">*Full protocol details can be viewed in the </span><a href="https://www.diagenode.com/en/documents/magmedip-seq-package-manual"><span style="font-weight: 400;">MagMeDIP-seq Package manual</span></a></p>
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<p><span style="font-weight: 400;">*Full protocol details can be viewed in the </span><a href="https://www.diagenode.com/en/documents/magmedip-seq-package-manual"><span style="font-weight: 400;">MagMeDIP-seq Package manual</span></a></p>
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<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>
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<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 &ldquo;finding a needle in a haystack.&rdquo;</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>
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<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></p>
<ol start="2">
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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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<div class="panel"><center><img src="http://www.diagenode.com/img/categories/services/dna-workflow.png" alt="DNA-methylation -Diagenode" /></center>
<p>DNAメチル化およびヒストン修飾のパターンは、細胞機能を維持する上で不可欠な役割を果たします。 異常なDNAメチル化 - 過剰メチル化および低メチル化 - は、癌または他の疾患のような有害転帰をもたらし得ます。ゲノムワイドDNAメチル化分析による5-mCの定量化は、疾患の検出および予後のための情報を提供することが可能です。 DiagenodeのDNAメチル化解析サービスは、あらゆる種のゲノムDNAメチル化解析の標的となる全ゲノムDNAメチル化解析用の多数のバイサルファイトシークエンシングオプションをご提供いたします。</p>
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<p>エピゲノミクスプロファイリングサービスは、全ゲノムまたは遺伝子スケールのDNAメチル化のニーズに応じた最適なソリューションをご提案し、DNAメチル化（5-mC）およびメチル化変異体（5-hmC）研究をサポートします。DNAシーケンスのためのライブラリー調製やアレイから高品質のデータをお届けし、当社のバイオインフォマティクスの専門チームがお客様の研究内容に合わせて、カスタマイズされた解析を含む包括的なサービスを提供します。<br /><br /></p>
<h3><a href="https://www.diagenode.com/jp/p/infinium-methylation-epic-array-service">Infinium MethylationEPIC&nbsp;Array Service</a></h3>
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<li>所要時間の短縮、高いコストパフォーマンス</li>
<li>単一ヌクレオチド分解能で850,000を超えるヒトCpG位置</li>
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<li><span><a href="https://www.diagenode.com/jp/categories/bioinformatics-service">バイオインフォマティクスツール</a></span>によるDifferentially methylated site解析</li>
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<h3><a href="https://www.diagenode.com/jp/p/infinium-mouse-methylation-array-service">Infinium Mouse Methylation Array Service</a></h3>
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<li>単一ヌクレオチド分解能で285,000を超えるマウスCpG位置</li>
<li>一般的な実験用マウス系に適応</li>
<li><span><a href="https://www.diagenode.com/jp/categories/bioinformatics-service">バイオインフォマティクスツール</a></span>によるDifferentially methylated site解析</li>
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<h3><a href="https://www.diagenode.com/jp/p/rrbs-service">Reduced Representation Bisulfite Sequencing (RRBS) サービス</a></h3>
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<li>結果に自信のある堅牢で費用効果の高いソリューション</li>
<li>単一ヌクレオチド分解能で最大500万か所のCpG部位をカバー（ヒトサンプル）</li>
<li>全ゲノム上CpG-rich部位とプロモーターのメチレーションパターン解析</li>
<li><span><a href="https://www.diagenode.com/jp/categories/bioinformatics-service">バイオインフォマティクスツール</a></span>によるDifferentially methylated site解析</li>
<li>エピジェネティックなバイオマーカーの探索に最適</li>
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<h3><a href="https://www.diagenode.com/jp/p/wgbs-service">Whole Genome Bisulfite Sequencing (WGBS)&nbsp;Service</a></h3>
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<li>単一塩基分解能で全ゲノムのほぼ全てのCpG部位のメチル化状態を評価</li>
<li>全ゲノム上CpG-rich部位とプロモーターのメチレーションパターン解析</li>
<li><a href="https://www.diagenode.com/jp/categories/bioinformatics-service">バイオインフォマティックスツールによるゲノムにわたるCpG、CHGおよびCHH領域のメチル化パターン解析</a></li>
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<h3><a href="https://www.diagenode.com/jp/p/targeted-dna-methylation-service">Targeted&nbsp;Bisulfite Sequencing Service</a></h3>
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<li><span>Enhanced accuracy, sensitivity and specificity while reducing overall cost</span></li>
<li><span>Allowing deep sequencing at high coverage levels for rare variant identification</span></li>
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<h3><a href="../p/medip-seq-service">MeDIP</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.&nbsp;</p>
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<h3><span class="green">Chromatin</span>&nbsp;analysis</h3>
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<li>Promoter analysis</li>
<li>Enhancer analysis</li>
<li>ChIP-seq analysis Transcription factor&nbsp;</li>
<li>(sc)ATAC-seq Chromatin accessibility</li>
<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>Infinium MethylationEPIC array&nbsp;</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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<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>
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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>&reg;</sup> sonication device for optimal chromatin and DNA shearing and the IP-Star<sup>&reg;</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>
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            <h6 style="height:60px">Bioinformatics Data Mining Service</h6>
        </div>

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'
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	'name' => 'Bioinformatics Data Mining Service',
	'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>
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</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>
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</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 &ldquo;finding a needle in a haystack.&rdquo;</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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include - APP/View/Products/view.ctp, line 755
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View::render() - CORE/Cake/View/View.php, line 473
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Notice (8): Undefined variable: campaign_id [APP/View/Products/view.ctp, line 755]
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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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<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>
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</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 &ldquo;finding a needle in a haystack.&rdquo;</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>
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<td>
<p>mRNA-sequencing</p>
<p>Small and long non coding RNA</p>
<p>Single-cell RNA-sequencing</p>
</td>
</tr>
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<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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<div class="panel"><center><img src="http://www.diagenode.com/img/categories/services/dna-workflow.png" alt="DNA-methylation -Diagenode" /></center>
<p>DNAメチル化およびヒストン修飾のパターンは、細胞機能を維持する上で不可欠な役割を果たします。 異常なDNAメチル化 - 過剰メチル化および低メチル化 - は、癌または他の疾患のような有害転帰をもたらし得ます。ゲノムワイドDNAメチル化分析による5-mCの定量化は、疾患の検出および予後のための情報を提供することが可能です。 DiagenodeのDNAメチル化解析サービスは、あらゆる種のゲノムDNAメチル化解析の標的となる全ゲノムDNAメチル化解析用の多数のバイサルファイトシークエンシングオプションをご提供いたします。</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">
<p>エピゲノミクスプロファイリングサービスは、全ゲノムまたは遺伝子スケールのDNAメチル化のニーズに応じた最適なソリューションをご提案し、DNAメチル化（5-mC）およびメチル化変異体（5-hmC）研究をサポートします。DNAシーケンスのためのライブラリー調製やアレイから高品質のデータをお届けし、当社のバイオインフォマティクスの専門チームがお客様の研究内容に合わせて、カスタマイズされた解析を含む包括的なサービスを提供します。<br /><br /></p>
<h3><a href="https://www.diagenode.com/jp/p/infinium-methylation-epic-array-service">Infinium MethylationEPIC&nbsp;Array Service</a></h3>
<ul>
<li>所要時間の短縮、高いコストパフォーマンス</li>
<li>単一ヌクレオチド分解能で850,000を超えるヒトCpG位置</li>
<li>CpG、非CpG、およびCHH部位のメチル化部位の定量分析</li>
<li><span><a href="https://www.diagenode.com/jp/categories/bioinformatics-service">バイオインフォマティクスツール</a></span>によるDifferentially methylated site解析</li>
</ul>
<h3><a href="https://www.diagenode.com/jp/p/infinium-mouse-methylation-array-service">Infinium Mouse Methylation Array Service</a></h3>
<ul>
<li>費用対効果が高いソリューション、所要時間の短縮</li>
<li>単一ヌクレオチド分解能で285,000を超えるマウスCpG位置</li>
<li>一般的な実験用マウス系に適応</li>
<li><span><a href="https://www.diagenode.com/jp/categories/bioinformatics-service">バイオインフォマティクスツール</a></span>によるDifferentially methylated site解析</li>
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<h3><a href="https://www.diagenode.com/jp/p/rrbs-service">Reduced Representation Bisulfite Sequencing (RRBS) サービス</a></h3>
<ul>
<li>結果に自信のある堅牢で費用効果の高いソリューション</li>
<li>単一ヌクレオチド分解能で最大500万か所のCpG部位をカバー（ヒトサンプル）</li>
<li>全ゲノム上CpG-rich部位とプロモーターのメチレーションパターン解析</li>
<li><span><a href="https://www.diagenode.com/jp/categories/bioinformatics-service">バイオインフォマティクスツール</a></span>によるDifferentially methylated site解析</li>
<li>エピジェネティックなバイオマーカーの探索に最適</li>
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<h3><a href="https://www.diagenode.com/jp/p/wgbs-service">Whole Genome Bisulfite Sequencing (WGBS)&nbsp;Service</a></h3>
<ul>
<li>ゲノムワイドなバイオマーカー検索ための非常に強力なソリューション</li>
<li>単一塩基分解能で全ゲノムのほぼ全てのCpG部位のメチル化状態を評価</li>
<li>全ゲノム上CpG-rich部位とプロモーターのメチレーションパターン解析</li>
<li><a href="https://www.diagenode.com/jp/categories/bioinformatics-service">バイオインフォマティックスツールによるゲノムにわたるCpG、CHGおよびCHH領域のメチル化パターン解析</a></li>
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<h3><a href="https://www.diagenode.com/jp/p/targeted-dna-methylation-service">Targeted&nbsp;Bisulfite Sequencing Service</a></h3>
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<li>Focus on D<span>NA methylation patterning of selective regions with single nucleotide resolution</span></li>
<li><span>Choose between two methodologies depending on the size of the region of interest: PCR enrichment or hybridization capture</span></li>
<li><span>Enhanced accuracy, sensitivity and specificity while reducing overall cost</span></li>
<li><span>Allowing deep sequencing at high coverage levels for rare variant identification</span></li>
</ul>
<h3><a href="../p/medip-seq-service">MeDIP</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.&nbsp;</p>
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<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>&nbsp;analysis</h3>
<ul>
<li>ChIP-seq analysis Histone modification</li>
<li>Promoter analysis</li>
<li>Enhancer analysis</li>
<li>ChIP-seq analysis Transcription factor&nbsp;</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>
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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&nbsp;</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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<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>
</div>
</div>
</div>
<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>&reg;</sup> sonication device for optimal chromatin and DNA shearing and the IP-Star<sup>&reg;</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>
<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>
<li><strong>Integrative</strong> data analysis</li>
<li>Presentation-<strong>quality data</strong> and graphs</li>
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            <h6 style="height:60px">Bioinformatics Data Mining Service</h6>
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<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>
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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>
<li><a href="#panel2" class="tips portal button">Breast cancer</a></li>
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<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 &ldquo;finding a needle in a haystack.&rdquo;</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>
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<tbody>
<tr>
<td><strong>Epigenetic data</strong></td>
<td><strong>Transcriptomic data</strong></td>
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<p>DNA Methylation (RRBS, WGBS, EPIC arrays)</p>
<p>ChIP-sequencing</p>
<p>ATAC-seq</p>
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<p>mRNA-sequencing</p>
<p>Small and long non coding RNA</p>
<p>Single-cell RNA-sequencing</p>
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<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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