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

Chen, YiwenMeyer, CliffordLiu, TaoLi, WeiLiu, JunLiu, Xiaole2016-05-132011Chen, 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-r11.1465-6906http://nrs.harvard.edu/urn-3:HUL.InstRepos:27002573The 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.en-USMM-ChIP enables integrative analysis of cross-platform and between-laboratory ChIP-chip or ChIP-seq dataJournal Article2016-05-1310.1186/gb-2011-12-2-r11