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» Discovering biological motifs with genetic programming
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GECCO
2008
Springer
154views Optimization» more  GECCO 2008»
13 years 8 months ago
Automated shape composition based on cell biology and distributed genetic programming
Motivated by the ability of living cells to form specific shapes and structures, we present a computational approach using distributed genetic programming to discover cell-cell i...
Linge Bai, Manolya Eyiyurekli, David E. Breen
BMCBI
2006
108views more  BMCBI 2006»
13 years 7 months ago
An improved map of conserved regulatory sites for Saccharomyces cerevisiae
Background: The regulatory map of a genome consists of the binding sites for proteins that determine the transcription of nearby genes. An initial regulatory map for S. cerevisiae...
Kenzie D. MacIsaac, Ting Wang, D. Benjamin Gordon,...
RECOMB
2003
Springer
14 years 7 months ago
Modeling dependencies in protein-DNA binding sites
The availability of whole genome sequences and high-throughput genomic assays opens the door for in silico analysis of transcription regulation. This includes methods for discover...
Yoseph Barash, Gal Elidan, Nir Friedman, Tommy Kap...
BMCBI
2002
109views more  BMCBI 2002»
13 years 6 months ago
Kangaroo - A pattern-matching program for biological sequences
Background: Biologists are often interested in performing a simple database search to identify proteins or genes that contain a well-defined sequence pattern. Many databases do no...
Doron Betel, Christopher W. V. Hogue
EVOW
2004
Springer
13 years 10 months ago
Evolving Regular Expression-Based Sequence Classifiers for Protein Nuclear Localisation
A number of bioinformatics tools use regular expression (RE) matching to locate protein or DNA sequence motifs that have been discovered by researchers in the laboratory. For exam...
Amine Heddad, Markus Brameier, Robert M. MacCallum