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

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

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Title: MM-ChIP enables integrative analysis of cross-platform and between-laboratory ChIP-chip or ChIP-seq data
Author: Chen, Yiwen; Meyer, Clifford; Liu, Tao; Li, Wei; Liu, Jun; Liu, Xiaole (Shirley) Shirley

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Citation: Chen, Yiwen, Clifford A Meyer, Tao Liu, Wei Li, Jun S Liu, and Xiaole Shirley Liu. 2011. “MM-ChIP Enables Integrative Analysis of Cross-Platform and Between-Laboratory ChIP-Chip or ChIP-Seq Data.” Genome Biology 12 (2): R11. doi:10.1186/gb-2011-12-2-r11.
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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.
Published Version: doi:10.1186/gb-2011-12-2-r11
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:27002573
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