Open AccessA fuzzy guided genetic algorithm for operon prediction
Author(s) -
Elizabeth Jacob,
R. Sasikumar,
K. N. Ramachandran Nair
Publication year - 2004
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bti156
Subject(s) - operon , fuzzy logic , computer science , algorithm , genetic algorithm , computational biology , artificial intelligence , genetics , biology , machine learning , gene , escherichia coli
The operon structure of the prokaryotic genome is a critical input for the reconstruction of regulatory networks at the whole genome level. As experimental methods for the detection of operons are difficult and time-consuming, efforts are being put into developing computational methods that can use available biological information to predict operons.
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