Epigenomics Profiling Services

RNA-seq Profiling Services


RNA-seq is a revolutionary technique that examines the total cellular content of RNAs, the transcriptome, using deep-sequencing technologies. Obtaining data about the transcriptome allows to connect the information on a genome with its functional protein expression. It provides great insights into cell development mechanisms and disease-associated modifications.

mRNA analysis

  • Recognition of protein-coding RNAs with specific poly A selection
  • Superior complexity and high transcript coverage
  • Accurate comparison of gene expression levels

Whole transcriptome including long non-coding RNA analysis

  • Detection of both coding and non-coding RNAs with optional rRNA depletion
  • Recognition of long non-coding RNAs involved in chromatin remodeling and transcriptional/post-transcriptional regulation
  • Investigation of the structure of genes, their splicing patterns and other post transcriptional modifications
Our Epigenomics Profiling Services helps you to complete your transcriptomic profiling analysis using next-generation sequencing (NGS). Our experienced scientists will help you design your RNA-seq experiments based on the ultimate goal of your transcriptomic profiling analysis by generating meaningful RNA-seq libraries and delivering high quality data. Our bioinformatic experts will closely work with you to provide standard and customized analysis with comprehensive publication-ready figures.


Cat. No.ProductFormatPrice
G02120000 mRNA-seq Service
mRNA-seq is the method of choice to efficiently detect and precisely quantify coding RNAs present in a biological sample under specific circumstances. Accura...
G02030000 Total RNA-seq Service
Exploring the whole transcriptome allows to gain insight of potential transcriptional and regulatory network mechanisms. With Total RNA-seq services, we wi...
G02100000 Bioinformatics Data Mining Service
New! Data mining using machine learning (AI) for unique epigenetic data insights Watch the webinar to gain insights on how data mining can be applied ...


  • EpiPlant 2024
    Clermont-Ferrand, France
    Jul 10-Jul 12, 2024
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