BPP: a sequence-based algorithm for branch point prediction
Publication in refereed journal

替代計量分析
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其它資訊
摘要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 utilises information on the branch point sequence and the polypyrimidine tract. Using experimentally validated data, we demonstrate that our proposed method outperforms existing methods.
著者Qing Zhang, Xiaodan Fan, Yejun Wang, Mingan Sun, Jianlin Shao, Dianjing Guo
期刊名稱Bioinformatics
出版年份2017
月份10
日期15
卷號33
期次20
頁次3166 - 3172
國際標準期刊號1367-4803
語言英式英語

上次更新時間 2020-28-11 於 01:47