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.
Luo
Jia-wei
JW
School of Computer and Communication, Hunan University, Changsha, Hunan 410082, China. luojiawei@gmail.com
Wang
Ting
T
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