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