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


BACKGROUND
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.
Aerts
Stein
S
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
P
Moreau
Yves
Y
De Moor
Bart
B
D000465:Algorithms; D002874:Chromosome Mapping / Q000379:methods*; D020869:Gene Expression Profiling / Q000379:methods*; D005786:Gene Expression Regulation / Q000235:genetics*; D005809:Genes, Regulator / Q000235:genetics*; D008957:Models, Genetic; D016415:Sequence Alignment / Q000379:methods*; D017422:Sequence Analysis, DNA / Q000379:methods*; D012984:Software