Back to search

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
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Sierra: discovery of differential transcript usage from polyA-captured single-cell RNA-seq dataDOI 10.1101/867309
Select a neighboring publication to make it the new centre.