Sciweavers

Share
BMCBI
2010

Motif Enrichment Analysis: a unified framework and an evaluation on ChIP data

11 years 5 months ago
Motif Enrichment Analysis: a unified framework and an evaluation on ChIP data
Background: A major goal of molecular biology is determining the mechanisms that control the transcription of genes. Motif Enrichment Analysis (MEA) seeks to determine which DNA-binding transcription factors control the transcription of a set of genes by detecting enrichment of known binding motifs in the genes' regulatory regions. Typically, the biologist specifies a set of genes believed to be co-regulated and a library of known DNA-binding models for transcription factors, and MEA determines which (if any) of the factors may be direct regulators of the genes. Since the number of factors with known DNA-binding models is rapidly increasing as a result of high-throughput technologies, MEA is becoming increasingly useful. In this paper, we explore ways to make MEA applicable in more settings, and evaluate the efficacy of a number of MEA approaches. Results: We first define a mathematical framework for Motif Enrichment Analysis that relaxes the requirement that the biologist input ...
Robert C. McLeay, Timothy L. Bailey
Added 08 Dec 2010
Updated 08 Dec 2010
Type Journal
Year 2010
Where BMCBI
Authors Robert C. McLeay, Timothy L. Bailey
Comments (0)
books