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：

暂无

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.

引用

页码：1293 / 1300

页数：7

共 50 条

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