Deep-learning augmented RNA-seq analysis of transcript splicing.
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ABSTRACT:
SUBMITTER: Zhang Z
PROVIDER: S-EPMC7605494 | biostudies-literature | 2019 Apr
REPOSITORIES: biostudies-literature
Publications
Deep-learning augmented RNA-seq analysis of transcript splicing.
Zhang Zijun Z Pan Zhicheng Z Ying Yi Y Xie Zhijie Z Adhikari Samir S Phillips John J Carstens Russ P RP Black Douglas L DL Wu Yingnian Y Xing Yi Y
Nature methods 20190325 4
A major limitation of RNA sequencing (RNA-seq) analysis of alternative splicing is its reliance on high sequencing coverage. We report DARTS (https://github.com/Xinglab/DARTS), a computational framework that integrates deep-learning-based predictions with empirical RNA-seq evidence to infer differential alternative splicing between biological samples. DARTS leverages public RNA-seq big data to provide a knowledge base of splicing regulation via deep learning, thereby helping researchers better c ...[more]
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