Motif discovery using an immune genetic algorithm.
In this paper, a new immune genetic algorithm for motif discovery is proposed. The algorithm adopts concentration regulation mechanism to maintain the population diversity and vaccine mechanism to inhibit degeneracy during evolution. Experimental results have demonstrated the method's capacity to find known motifs in relatively long promoter sequences and multiple motifs within a single run.
School of Computer and Communication, Hunan University, Changsha, Hunan 410082, China. luojiawei@gmail.com
Jia-wei
JW
Luo
Ting
T
Wang
D000465:Algorithms; D020816:Amino Acid Motifs / Q000235:genetics / Q000276:immunology*; D000595:Amino Acid Sequence; D019295:Computational Biology; D014644:Genetic Variation; D006801:Humans; D007109:Immunity / Q000235:genetics*; D008957:Models, Genetic; D009154:Mutation; D011401:Promoter Regions, Genetic / Q000235:genetics; D014612:Vaccines / Q000276:immunology
D014612:Vaccines