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A sequence-based, deep learning model accurately predicts RNA splicing branchpoints

2017-09-07

Abstract excerpt

Experimental detection of RNA splicing branchpoints, the nucleotide serving as the nucleophile in the first catalytic step of splicing, is difficult. To date, annotations exist for only 16-21% of 3’ splice sites in the human genome and even these limited annotations have been shown to be plagued by noise. We develop a sequence-only, deep learning based branchpoint predictor, LaBranchoR, which we conclude predicts...

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Literature Corpus work
a1e24b32-6b87-58e7-8989-f81677c81c2c
DOI
10.1101/185868
Open publication

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A sequence-based, deep learning model accurately predicts RNA splicing branchpointsDOI 10.1101/185868
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