Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard School of Public Health, 44 Binney Street, Boston, MA 02115, USA.
Genome Biol. 2011;12(2):R11. doi: 10.1186/gb-2011-12-2-r11. Epub 2011 Feb 1.
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.
ChIP-chip 和 ChIP-seq 技术可实现体内蛋白质-DNA 相互作用和染色质状态的全基因组作图。跨平台和实验室间的差异给不同 ChIP 实验结果的比较和整合带来了挑战。我们描述了一种新的方法 MM-ChIP，它整合了来自跨平台和实验室间的 ChIP-chip 或 ChIP-seq 数据集的信息。它提高了检测 ChIP 富集区域的灵敏度和特异性，是一种从多个数据源进行驱动发现的有用的元分析工具。
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