MM-ChIP enables integrative analysis of cross-platform and between-laboratory ChIP-chip or ChIP-seq data

Yiwen Chen, Clifford A. Meyer, Tao Liu, Wei Li, Jun S. Liu, Xiaole Shirley Liu

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

The ChIP-chip and ChIP-seq techniques enable genome-wide mapping of in vivo protein-DNA interactions and chromatin states. The cross-platform and between-laboratory variation poses a challenge to the comparison and integration of results from different ChIP experiments. We describe a novel method, MM-ChIP, which integrates information from cross-platform and between-laboratory ChIP-chip or ChIP-seq datasets. It improves both the sensitivity and the specificity of detecting ChIP-enriched regions, and is a useful meta-analysis tool for driving discoveries from multiple data sources.

Original languageEnglish (US)
Article numberR11
JournalGenome biology
Volume12
Issue number2
DOIs
StatePublished - Feb 1 2011
Externally publishedYes

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Genetics
  • Cell Biology

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