Identifying Regulatory Regions in Drosophila

• Activity Number: 127
• Type: Contributed
• Date/Time: Monday, August 5, 2013 : 8:30 AM to 10:20 AM
• Sponsor: Biometrics Section
• Author(s): Jennifer Tom*+
• Companies: UC Berkeley
• Keywords: Bayesian hierarchical model ; Naive Bayes classifier ; ChIP-chip ; Drosophila ; cis-regulatory modules

Abstract

The development of a single fertilized egg into an adult fly is governed by gene expression. The timing and location of gene expression is in turn regulated by cis-regulatory modules (CRMs). Identifying these CRMs is key to understanding the process of development. I present a multivariate Bayesian hierarchical model followed by a Naive Bayes classifier to identify potential CRMs relying on ChIP-chip scores from 21 different transcription factors in Drosophila. Fifty potential regulatory regions identified by this classification scheme will be tested by the Berkeley Drosophila Transcription Network Project.