BPP: a sequence-based algorithm for branch point prediction

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Abstract

Motivation

Although high-throughput sequencing methods have been proposed to identify splicing branch points in the human genome, these methods can only detect a small fraction of the branch points subject to the sequencing depth, experimental cost and the expression level of the mRNA. An accurate computational model for branch point prediction is therefore an ongoing objective in human genome research.

Results

We here propose a novel branch point prediction algorithm that utilizes information on the branch point sequence and the polypyrimidine tract. Using experimentally validated data, we demonstrate that our proposed method outperforms existing methods.

Results

Availability and implementation: https://github.com/zhqingit/BPP.

Contact

djguo@cuhk.edu.hk

Supplementary information

Supplementary data are available at Bioinformatics online.

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