Home LiteratureArticle Details

PMID: 15044242 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

A genetic algorithm for the detection of new cis-regulatory modules in sets of coregulated genes.

Bioinformatics (Oxford, England) ·Vol. 20 ·No. 12 ·2004-08-12 ·Pages 1974-6

Aerts S, Van Loo P, Moreau Y, De Moor B

Abstract

The implementation of a genetic algorithm is described that provides a fast method of searching for the optimal combination of transcription factor binding sites in a set of regulatory sequences. The algorithm can be used transparently as a web service from within the Toucan software. Toucan can be accessed at http://www.esat.kuleuven.ac.be/~saerts/software/toucan.php. A standalone version of the software is available upon request.

MeSH Terms

Algorithms Chromosome Mapping/methods Gene Expression Profiling/methods Gene Expression Regulation/genetics Genes, Regulator/genetics Models, Genetic Sequence Alignment/methods Sequence Analysis, DNA/methods Software

Authors & Affiliations

4 authors, click to expand affiliations / ORCID

Aerts Stein

Department of Electrical Engineering (ESAT-SCD), Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, 3001 Heverlee (Leuven), Belgium. stein.aerts@esat.kuleuven.ac.be

Van Loo Peter

Moreau Yves

De Moor Bart

Article Info

Journal

Bioinformatics (Oxford, England)

Abbr.

Bioinformatics

ISSN

1367-4803

DOI

10.1093/bioinformatics/bth179

stein.aerts@esat.kuleuven.ac.be

Published

2004-08-12

Epub

2004-00-25

Pages

1974-6

Language

English

Region

England

NLM ID

9808944

Subset

External Links

PubMed source DOI: 10.1093/bioinformatics/bth179 View journal details

Analysis Services

A genetic algorithm for the detection of new cis-regulatory modules in sets of coregulated genes.

Contact

WeChat Official Account