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RNA sequencing analysis

From raw data to biological insights

We offer transcriptome analysis for tissues and single cells using advanced bulk and single-cell sequencing technologies. Our RNA-seq workflows integrate the latest high-performance public tools and proprietary solutions, covering every step from raw data quality control to statistical analysis of gene expression values. The standardised workflows can readily be adapted to your specific needs and objectives. Our goal is that you receive accurate, reliable insights from your data to drive forward your research.  

A 10x Chromium instrument is ready for loading of samples. The device performs automated cell partitioning and barcoding for single cell sequencing.

Bulk RNA-seq data analysis

For a typical bulk RNA-seq experiment, our standard analysis package includes:  

  • Quality assessment of the raw data  
  • Alignment of reads to the genome/transcriptome  
  • Data mining, including principal component analysis and clustering  
  • Identification of differentially expressed genes between treatment groups using a multivariate statistical model  
  • Pathway annotation and visualisation of differentially expressed genes.  

Our advanced data analysis package is custom-tailored to your project's needs and may include:  

  • A thorough literature review of the biological/medical context  
  • In-depth investigation of relevant genes  
  • Assessment of the effect of additional sample characteristics on gene expression patterns  
  • Advanced statistical models to identify differentially expressed genes at lower effect sizes  
  • Detailed annotation and biological/clinical interpretation of differentially expressed genes.  
 
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