Buck Michael J, Nobel Andrew B, Lieb Jason D
Department of Biology, Carolina Center for Genome Sciences, CB 3280, University of North Carolina, Chapel Hill, NC 27599-3280, USA.
Genome Biol. 2005;6(11):R97. doi: 10.1186/gb-2005-6-11-r97. Epub 2005 Oct 19.
ChIPOTle (Chromatin ImmunoPrecipitation On Tiled arrays) takes advantage of two unique properties of ChIP-chip data: the single-tailed nature of the data, caused by specific enrichment but not specific depletion of genomic fragments; and the predictable enrichment of DNA fragments adjacent to sites of direct protein-DNA interaction. Implemented as a Microsoft Excel macro written in Visual Basic, ChIPOTle uses a sliding window approach that yields improvements in the identification of bona fide sites of protein-DNA interaction.
ChIPOTle(基于芯片的染色质免疫沉淀技术)利用了ChIP芯片数据的两个独特特性:数据的单尾性质,这是由基因组片段的特异性富集而非特异性缺失所导致的;以及与直接蛋白质-DNA相互作用位点相邻的DNA片段的可预测富集。ChIPOTle作为一个用Visual Basic编写的Microsoft Excel宏来实现,它采用滑动窗口方法,在识别蛋白质-DNA相互作用的真实位点方面取得了改进。