EVENTS

Seminar: Statistical and computational issues involved in the analysis of high throughput ChIP assays (Raphael Gottardo)

Seminar

Department of Statistics

Thursday, 1 October 2009 at 3:30PM

Sidney Smith Hall, Room 1086

Statistical and computational issues involved in the analysis of high throughput ChIP assays

Dr. Raphael Gottardo

Institut de recherches cliniques de Montréal (IRCM)

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 plan to focus mainly on ChIP-Seq, though I will also discuss some of the work we have done on chip-chip.