Title
Cross-species comparison significantly improves genome-wide prediction of cis-regulatory modules in Drosophila.
Abstract
The discovery of cis-regulatory modules in metazoan genomes is crucial for understanding the connection between genes and organism diversity. It is important to quantify how comparative genomics can improve computational detection of such modules.We run the Stubb software on the entire D. melanogaster genome, to obtain predictions of modules involved in segmentation of the embryo. Stubb uses a probabilistic model to score sequences for clustering of transcription factor binding sites, and can exploit multiple species data within the same probabilistic framework. The predictions are evaluated using publicly available gene expression data for thousands of genes, after careful manual annotation. We demonstrate that the use of a second genome (D. pseudoobscura) for cross-species comparison significantly improves the prediction accuracy of Stubb, and is a more sensitive approach than intersecting the results of separate runs over the two genomes. The entire list of predictions is made available online.Evolutionary conservation of modules serves as a filter to improve their detection in silico. The future availability of additional fruitfly genomes therefore carries the prospect of highly specific genome-wide predictions using Stubb.
Year
DOI
Venue
2004
10.1186/1471-2105-5-129
BMC Bioinformatics
Keywords
Field
DocType
comparative genomics,algorithms,cis regulatory module,microarrays,evolutionary conservation,genome,bioinformatics,probabilistic model,conserved sequence,predictive value of tests,embryos,transcription factor binding site,gene expression regulation
Genome,Conserved sequence,Gene,Biology,Comparative genomics,Bioinformatics,Genetics,Drosophila melanogaster,Cis-regulatory module,DNA microarray,Organism
Journal
Volume
Issue
ISSN
5
1
1471-2105
Citations 
PageRank 
References 
33
1.55
4
Authors
5
Name
Order
Citations
PageRank
Saurabh Sinha152948.96
Mark D Schroeder2331.55
Ulrich Unnerstall3331.55
Ulrike Gaul410514.13
Eric D Siggia532731.73