The James Hutton Institute, UK
3D RNA-seq: a powerful and flexible tool for rapid and accurate differential expression and alternative splicing analysis of RNA-seq data for biologists”
Host: M. Barelle
Analysis of gene expression is essential to understanding complex molecular and
cellular processes, diagnostics in human disease, enhanced agricultural practices,
and a better understanding of environmental impacts (pollution; biodiversity). RNA
Sequencing (RNA-seq) is a pivotal tool in analysing gene expression and alternative
splicing but a significant bottleneck exists in the analysis of RNA-seq due to cost,
access to skilled bioinformaticians, outdated methodologies, and lengthy analysis
times.
We have developed tools to analyse RNA-sequencing data. In particular, the 3D RNA-
seq App performs a fully comprehensive analysis identifying differentially expressed
genes and transcripts, differentially alternatively spliced genes, differential transcript
usage and isoform switching. A user-friendly interface allows researchers without
bioinformatics knowledge to perform professional RNA-seq analysis in only two
hours. The App currently has over 11,000 users globally.
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