An integrated software system for analyzing ChIP-chip and ChIP-seq data

被引:533
作者
Ji, Hongkai [2 ]
Jiang, Hui [3 ]
Ma, Wenxiu [4 ]
Johnson, David S. [5 ]
Myers, Richard M. [6 ]
Wong, Wing H. [1 ,7 ]
机构
[1] Stanford Univ, Dept Hlth Res & Policy, Stanford, CA 94305 USA
[2] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Biostat, Baltimore, MD 21205 USA
[3] Stanford Univ, Inst Computat & Math Engn, Stanford, CA 94305 USA
[4] Stanford Univ, Dept Comp Sci, Stanford, CA 94305 USA
[5] Stanford Univ, Sch Med, Dept Genet, Stanford, CA 94305 USA
[6] HudsonAlpha Inst Biotechnol, Huntsville, AL 35806 USA
[7] Stanford Univ, Dept Stat, Stanford, CA 94305 USA
基金
美国国家卫生研究院;
关键词
D O I
10.1038/nbt.1505
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
We present CisGenome, a software system for analyzing genome-wide chromatin immunoprecipitation (hIP) data. CisGenome is designed to meet all basic needs of ChIP data analyses, including visualization, data normalization, peak detection, false discovery rate computation, gene-peak association, and sequence and motif analysis. In addition to implementing previously published ChIP-microarray (ChIP-chip) analysis methods, the software contains statistical methods designed specifically for ChlP sequencing (ChIP-seq) data obtained by coupling ChIP with massively parallel sequencing. The modular design of CisGenome enables it to support interactive analyses through a graphic user interface as well as customized batch-mode computation for advanced data mining. A built-in browser allows visualization of array images, signals, gene structure, conservation, and DNA sequence and motif information. We demonstrate the use of these tools by a comparative analysis of ChIP-chip and ChIP-seq data for the transcription factor NRSF/REST, a study of ChIP-seq analysis with or without a negative control sample, and an analysis of a new motif in Nanog- and Sox2-binding regions.
引用
收藏
页码:1293 / 1300
页数:8
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