Genome-wide Identification of ChIP-Seq Enriched Regions Based on a Statistical Model

摘要：

BackgroundEpigenetics play critical role in gene regulation and development. Chromatin Immunoprecipitation combined with high-throughput sequencing (ChIPSeq) has become an effective technique to probe the genomic landscapes of epigenetic components, such as histone modifications. Profiles of many histone modifications are diffuse and noisy. Bioinformatietools to identify ChlP-Seq enrichment in these epigenetic marks have been lacking.Data & MethodWe present a method that overcomes the high noise level inherent in these diffuse signals by pooling together the relatively weak signals from neighboring nucleosomes. The statistical significance is efficiently and accurately calculated with an analytical approach based on a random background model. The ChlP-Seq data for histone variant H2A.Z and histone modification H3K36me3 in human CD4+T cell are from 1.

作者: Chongzhi Zang Dustin E.Schones Chen Zeng Kairong Cui Keji Zhao Weiqun Peng

作者单位: Department of Physics, The George Washington University, Washington, DC, 20052, USA Laboratory of Molecular Immunology, National Heart, Lung, and Blood Institute, US National Institute

会议类型: 国际会议

会议名称: The 7th Asia-Pacific Bioinformatics Conference(第七届亚太生物信息学大会)

会议地点: 北京

会议语种:英文

页码: 835

在线出版日期: 2009-01-01（万方平台首次上网日期，不代表论文的发表时间）