Transcriptome Sequencing (RNA-seq)

How it works

RNA-seq profiles gene and transcript expression in cells or tissues. It enables comparisons across experimental groups and, with an appropriate library design and sequencing depth, analysis of transcript structure and alternative splicing. Expression data can also be integrated with other omics measurements.

Applications

• Compare expression profiles across cell types, tissues or treatments
• Identify differentially expressed genes and enriched biological pathways
• Study transcriptional changes during differentiation, development and disease

Key features

• Provides both sequence information and expression measurements
• Analysis tailored to the species and research question
• Support for low-abundance transcripts with appropriate sequencing depth

Workflow

1. 01

   Assess samples and RNA quality

2. 02

   Select an RNA enrichment strategy and prepare libraries

3. 03

   Sequence libraries and check raw data quality

4. 04

   Quantify expression and analyze differential expression and biological functions

We tailor the experimental workflow and analysis to your samples and study objectives.