Title :
Preliminary results for GAMMI: Genetic algorithms for motif-module inference
Author :
Gagne, David J. ; Congdon, Clare Bates
Author_Institution :
Dept. of Comput. Sci., Univ. of Southern Maine, Portland, ME, USA
Abstract :
We have developed GAMMI, an approach to the inference of cis-regulatory modules that employs an evolutionary search to identify modules conserved across a set of DNA sequences from different species. This paper describes the motivation and system design for GAMMI, and presents the results of initial tests of the system using artificial sequences with implanted artificial modules. Based on these preliminary tests, GAMMI appears to be a promising approach to the module inference problem.
Keywords :
DNA; biology computing; evolutionary computation; genetic algorithms; inference mechanisms; search problems; DNA sequences; GAMMI; artificial modules; artificial sequences; cis-regulatory modules; evolutionary search; genetic algorithms for motif-module inference; module inference problem; Biological cells; Customer relationship management; DNA; Genetic algorithms; Laboratories; Libraries; Organisms; DNA motif inference; cis-regulatory modules; genetic algorithms;
Conference_Titel :
Evolutionary Computation (CEC), 2012 IEEE Congress on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4673-1510-4
Electronic_ISBN :
978-1-4673-1508-1
DOI :
10.1109/CEC.2012.6252857
