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SUMMARY:A statistical framework for the analysis of ChIP-Seq data - Gottar
 do\, R (University of British Columbia)
DTSTART:20100716T103000Z
DTEND:20100716T110000Z
UID:TALK25513@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:ChIP-seq\, which combines chromatin immunoprecipitation with m
 assively parallel short-read sequencing\, can profile in vivo genome-wide 
 transcription factor-DNA association with higher sensitivity\, specificity
  and spatial resolution than ChIP- chip. While it presents new opportuniti
 es for research\, ChIP-seq poses new challenges for statistical analysis t
 hat derive from the complexity of the biological systems characterized and
  the variability and biases in its digital sequence data. In this talk I w
 ill review some of the common problems with the analysis of such data and 
 I will describe a pipeline for the integrated analysis of ChIP-Seq that we
  have developed in my lab. 
LOCATION:Seminar Room 1\, Newton Institute
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