DocumentCode :
2861081
Title :
Prediction of Transcription Factor Binding Sites Using Genetic Algorithm
Author :
Chang, Xiaoyu ; Zhou, Wengang ; Zhou, Chunguang ; Liang, Yanchun
Author_Institution :
Coll. of Comput. Sci., Jilin Univ., Changchun
fYear :
2006
fDate :
24-26 May 2006
Firstpage :
1
Lastpage :
4
Abstract :
Identification of transcription factor binding sites (TFBS) from the upstream region of genes remains a highly important and unsolved problem particularly in higher eukaryotic genomes. In this paper, we propose a new approach to predict TFBS. This approach uses position weight matrix (PWM) to represent binding sites and uses genetic algorithm (GA) to search the best matrix. A new coding method so called multiple-variable coding is proposed in GA. We apply it on two transcription factors rebl and mgl. The result shows that this approach can find most of the known sites, which indicates that this method is very effective
Keywords :
encoding; genetic algorithms; genetic engineering; matrix algebra; coding method; genetic algorithm; higher eukaryotic genomes; multiple-variable coding; position weight matrix; transcription factor binding sites; transcription factors; Bioinformatics; Computer science; Educational technology; Genetic algorithms; Genomics; Hidden Markov models; Knowledge engineering; Proteins; Pulse width modulation; Sequences; GA; PSSM; TFBS;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications, 2006 1ST IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
0-7803-9513-1
Electronic_ISBN :
0-7803-9514-X
Type :
conf
DOI :
10.1109/ICIEA.2006.257271
Filename :
4025872
Link To Document :
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