title: A genetic algorithm for the detection of new cis-regulatory modules in sets of coregulated genes.
abstract: 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.
authors.affiliation: Department of Electrical Engineering (ESAT-SCD), Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, 3001 Heverlee (Leuven), Belgium. stein.aerts@esat.kuleuven.ac.be
authors.forename: Stein
authors.initials: S
authors.lastname: Aerts
authors.forename: Peter
authors.initials: P
authors.lastname: Van Loo
authors.forename: Yves
authors.initials: Y
authors.lastname: Moreau
authors.forename: Bart
authors.initials: B
authors.lastname: De Moor
mesh_terms: 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