Motif Discovery in Heterogeneous Sequence Data

This paper introduces the first integrated algorithm designed to discover novel motifs in heterogeneous sequence data, which is comprised of coregulated genes from a single genome together with the orthologs of these genes from other genomes. Results are presented for regulons in yeasts, worms, and mammals. 1 Regulatory Elements and Sequence Sources An important and challenging question facing biologists is to understand the varied and complex mechanisms that regulate gene expression: how, when, in what cells, and at what rate is a given gene turned on and off? This paper focuses on one important aspect of this challenge, the discovery of novel binding sites in DNA (also called regulatory elements) for the proteins involved in such gene regulation. This is an important first step in determining which proteins regulate the gene and how. 

• Type: Conference
• Year: 2004
• Where: PSB
• Authors: Amol Prakash, Mathieu Blanchette, Saurabh Sinha, Martin Tompa
• Keywords: Gene, Heterogeneous Sequence Data, PSB 2004, PSB 2007, Regulatory Elements