Article
Sierra: discovery of differential transcript usage from polyA-captured single-cell RNA-seq data
2019-12-06
Abstract excerpt
High-throughput single-cell RNA-seq (scRNA-seq) is a powerful tool for studying gene expression in single cells. Most current scRNA-seq bioinformatics tools focus on analysing overall expression levels, largely ignoring alternative mRNA isoform expression. We present a computational pipeline, Sierra, that readily detects differential transcript usage from data generated by commonly used polyA-captured scRNA-seq te...
Topics
Open a Topic to create a Post that cites this publication.
Identifiers and source
- Literature Corpus work
- 63762281-c0dd-5038-820d-ee62d28a287a
- DOI
- 10.1101/867309
