RNA-seq and Transcriptomics Analysis
RNA-seq is a Next Generation Sequencing (NGS) technique that can reveal which genes are transcribed in cells. Data from RNA-seq experiments can be used to compile a transcriptome (a catalog of expressed genes) for a whole organism, tissue or condition. Another common use of RNA-seq data is differential expression analysis, which aims to identify genes whose expression levels differ between groups of samples.
RNA-seq datasets can be quite large and often require advanced computational resources and specialized software for analysis. The Bioinformatics Center has pipelines for quality control, mapping, read counting and statistical analysis of RNA-seq data. Click on the links below to view example reports.
RNA-seq analysis with STAR and Salmon
RNA-seq analysis with STAR and RSEM
Differential abundance analysis
