Predicting regulatory variants with composite statistic

Motivation: Prediction and prioritization of human non-coding regulatory variants is critical for understanding the regulatory mechanisms of disease pathogenesis and promoting personalized medicine. Existing tools utilize functional genomics data and evolutionary information to evaluate the pathogen...

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Bibliographic Details
Published in:Bioinformatics
Main Authors: Li, Mulin Jun, Pan, Zhicheng, Liu, Zipeng, Wu, Jiexing, Wang, Panwen, Zhu, Yun, Xu, Feng, Xia, Zhengyuan, Sham, Pak Chung, Kocher, Jean-Pierre A., Li, Miaoxin, Liu, Jun S., Wang, Junwen
Format: Artigo
Language:Inglês
Published: Oxford University Press 2016
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Original Papers
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC6280872/
https://ncbi.nlm.nih.gov/pubmed/27273672
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btw288
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