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

被引：0
|
作者：
Hongkai Ji
Hui Jiang
Wenxiu Ma
David S Johnson
Richard M Myers
Wing H Wong
机构：
[1] Johns Hopkins Bloomberg School of Public Health,Department of Biostatistics
[2] Institute for Computational and Mathematical Engineering,Department of Computer Science
[3] Stanford University,Department of Genetics
[4] Stanford University,Department of Statistics
[5] Stanford University School of Medicine,Department of Health Research and Policy
[6] HudsonAlpha Institute for Biotechnology,undefined
[7] Stanford University,undefined
[8] Stanford University,undefined
[9] Present address: Gene Security Network,undefined
[10] Inc.,undefined
[11] 1442 Cortland Avenue,undefined
[12] San Francisco,undefined
[13] California 94110,undefined
[14] USA.,undefined
来源：
Nature Biotechnology | 2008年 / 26卷
关键词：
D O I：
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中图分类号：
学科分类号：
摘要：
Analyzing the massive and heterogenous datasets from genome-wide chromatin immunoprecipitation (ChIP) datasets presents several computational and statistical challenges. Ji et al. present a software suite that integrates all steps in ChIP-chip and ChIP-seq data analyses and illustrate the use of these tools by comparing the ability of the two platforms to identify transcription factor binding sites.
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页码：1293 / 1300
页数：7
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