Predicting Splicing from Primary Sequence with Deep Learning
Abstract
The splicing of pre-mRNAs into mature transcripts is remarkable for its precision, but the mechanisms by which the cellular machinery achieves such specificity are incompletely understood. Here, we describe a deep neural network that accurately predicts splice junctions from an arbitrary pre-mRNA transcript sequence, enabling precise prediction of noncoding genetic variants that cause cryptic splicing. Synonymous and intronic mutations with...
Paper Details
Title
Predicting Splicing from Primary Sequence with Deep Learning
Published Date
Jan 1, 2019
Journal
Volume
176
Issue
3
Pages
535 - 548.e24
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