The INI has a new website!

This is a legacy webpage. Please visit the new site to ensure you are seeing up to date information.

Skip to content



A statistical framework for the analysis of ChIP-Seq data

Gottardo, R (University of British Columbia)
Friday 16 July 2010, 11:30-12:00

Seminar Room 1, Newton Institute


ChIP-seq, which combines chromatin immunoprecipitation with massively 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 opportunities for research, ChIP-seq poses new challenges for statistical analysis that derive from the complexity of the biological systems characterized and the variability and biases in its digital sequence data. In this talk I will 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.


The video for this talk should appear here if JavaScript is enabled.
If it doesn't, something may have gone wrong with our embedded player.
We'll get it fixed as soon as possible.

Back to top ∧