DTFBS 2012 - Detecting Transcription Factor Binding Sites with ChIP-Seq data and Predicting Damaging Cis-Regulatory Variations

The workshop covers genome re-sequencing data analysis for the prediction of variations within cis-regulatory sequences, called cis-regulatory variations (CRVs). Despite improvement of identification methods for functional variations within protein encoding exons, the prediction of CRVs remains an unmet challenge. With full-genome sequences becoming widely accessible for medical genetics research, the need to identify in silico causal regulatory variations is imperative. The workshop responds to the high demand from researchers to combine results from transcription factor ChIP-Seq data with pedigree-based genome sequencing studies. It will be highly relevant to researchers from multiple domains of computational biology, including those interested in genome sequence data, gene expression, cis-regulatory sequence analysis and motif models for pattern discrimination. We aim to gain new insights for the development of methods that empower scientists to (i) improve models for the detection of transcription factor binding sites using ChIP-Seq data and (ii) use derived models to predict CRVs.