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Article

Computational identification of splicing phenotypes from single cell transcriptomic experiments

2020-11-05

Abstract excerpt

RNA splicing is an important driver of heterogeneity in single cells, both through the expression of alternative transcripts and as a major determinant of transcriptional kinetics. However, the intrinsic coverage limitations of scRNA-seq technologies make it challenging to associate specific splicing events to cell-level phenotypes. Here, we present BRIE2, a scalable computational method that resolves these issues...

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Literature Corpus work
1dc9b645-ae89-564c-a45b-50e0e3953c8e
DOI
10.1101/2020.11.04.368019
Open publication

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Computational identification of splicing phenotypes from single cell transcriptomic experimentsDOI 10.1101/2020.11.04.368019
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