ChIPOTle: a user-friendly tool for the analysis of ChIP-chip data

被引：0
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作者：
Michael J Buck
Andrew B Nobel
Jason D Lieb
机构：
[1] University of North Carolina at Chapel Hill,Department of Biology and Carolina Center for Genome Sciences, CB 3280, 202 Fordham Hall
[2] University of North Carolina at Chapel Hill,Department of Statistics
来源：
Genome Biology | / 6卷
关键词：
Additional Data File; Arrayed Element; Tiled Array; Percentile Rank; Average Log2 Ratio;
D O I：
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学科分类号：
摘要：
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.
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