scholarly journals Genetic Algorithm Based Probabilistic Motif Discovery in Unaligned Biological Sequences

2008 ◽  
Vol 4 (8) ◽  
pp. 625-630
Author(s):  
M. Hemalatha ◽  
K. Vivekanand
Keyword(s):  
Genetic Algorithm ◽  
Motif Discovery ◽  
Biological Sequences

Self-Organizing Maps of Position Weight Matrices for Motif Discovery in Biological Sequences

2005 ◽  
Vol 24 (3-4) ◽  
pp. 397-413 ◽  
Author(s):  
Shaun Mahony ◽  
David Hendrix ◽  
Terry J. Smith ◽  
Aaron Golden
Keyword(s):  
Motif Discovery ◽  
Biological Sequences ◽  
Self Organizing Maps ◽  
Self Organizing

EFFICIENT DNA MOTIF DISCOVERY USING MODIFIED GENETIC ALGORITHM

2013 ◽  
Vol 12 (03) ◽  
pp. 1350017
Author(s):  
ESSAM AL DAOUD
Keyword(s):  
Genetic Algorithm ◽  
Dna Sequences ◽  
Motif Discovery ◽  
Consensus Algorithms ◽  
Gene Position ◽  
Dna Motif ◽  
Implementation Time ◽  
Dna Motif Discovery ◽  
Standard Genetic Algorithm ◽  
New Distribution

In this study, a new genetic algorithm was developed to discover the best motifs in a set of DNA sequences. The main steps were: finding the potential positions in each sequence by using few voters (1–5 sequences), constructing the chromosomes from the potential positions, evaluating the fitness for each gene (position) and for each chromosome, calculating the new random distribution, and using the new distribution to generate the next generation. To verify the effectiveness of the proposed algorithm, several real and artificial datasets were used; the results are compared to the standard genetic algorithm, and Gibbs, MEME, and consensus algorithms. Although all the algorithms have low correlation with the correct motifs, the new algorithm exhibits higher accuracy, without sacrificing implementation time.

scholarly journals Greedy mixture learning for multiple motif discovery in biological sequences

2003 ◽  
Vol 19 (5) ◽  
pp. 607-617 ◽  
Author(s):  
K. Blekas ◽  
D. I. Fotiadis ◽  
A. Likas
Keyword(s):  
Motif Discovery ◽  
Biological Sequences ◽  
Multiple Motif

scholarly journals Gapped Motif Discovery with Multi-Objective Genetic Algorithm

OALib ◽  
2016 ◽  
Vol 03 (03) ◽  
pp. 1-6
Author(s):  
U. Angela Makolo ◽  
Salihu O. Suberu
Keyword(s):  
Genetic Algorithm ◽  
Motif Discovery ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm
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