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Activity Number: 543
Type: Invited
Date/Time: Thursday, August 6, 2009 : 8:30 AM to 10:20 AM
Sponsor: SSC
Abstract - #303014
Title: Statistical Issues Involved in the Analysis of High-Throughput ChIP Assays
Author(s): Raphael Gottardo*+
Companies: Institut de Recherche Cliniques de Montreal
Address: 110 Ave des Pins Ouest, Montreal, QC, H2W 1R7, Canada
Keywords: chip-chip ; sequencing ; Bayesian inference ; genomics ; tiling arrays ; computation
Abstract:

DNA-binding proteins play a key role in human health and disease, yet our current understanding of these proteins is limited by our knowledge of their binding sites in the genome. Chromatin immunoprecipitation (ChIP) is a powerful tool for determining whether a given protein binds to a specific DNA sequence in vivo. Recently, we have seen the emergence of high throughput assays (tiling arrays, high-throughput sequencing) that query all of the non-repetitive genomic sequences of human and other eukaryotes. When combined with ChIP, these assays permit the unbiased mapping of in vivo DNA-protein binding sites across a given genome. During this talk, I will describe some of the statistical issues involved in the analysis of high throughput ChIP data and will present some of the work we have done to address these issues. I will use both ChIP-chip and ChIP-Seq data to illustrate our methods.


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