Preliminary results for GAMMI: Genetic algorithms for motif-module inference

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...

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Bibliographic Details
Main Authors: Gagne, D. J., Congdon, C. B.
Format: Conference Proceeding
Language:English
Subjects:
Biological cells
cis-regulatory modules
Customer relationship management
DNA
DNA motif inference
Genetic algorithms
Laboratories
Libraries
Organisms
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Summary: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.
ISSN:1089-778X
1941-0026
DOI:10.1109/CEC.2012.6252857