DocumentCode
3009419
Title
Genetic Algorithm Based Indicator Sequence Method for Exon Prediction
Author
Biju, V.G. ; Mydhili, P.
Author_Institution
Dept. of ECE, Coll. of Eng., Munnar, India
fYear
2009
fDate
28-29 Dec. 2009
Firstpage
856
Lastpage
858
Abstract
Considerable research effort has been devoted in predicting the exon regions of genes. The binary indicator (BI), Electron ion interaction pseudo potential (EIIP), Filter method are some of the methods. All these methods make use of the period three behavior of the exon region. Even though the method suggested in this paper is similar to above mentioned methods , it introduces a set of sequences for mapping the nucleotides selected by applying genetic algorithm and found to be more promising .
Keywords
DNA; biology computing; genetic algorithms; genetics; genomics; molecular biophysics; random sequences; DNA; binary indicator; electron ion interaction pseudopotential; exon prediction; filter method; genes; genetic algorithm; indicator sequence method; Genetic algorithms; Binary indicator (BI); Electron ion interaction pseudo potential (EIIP); Exon; genetic algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Computing, Control, & Telecommunication Technologies, 2009. ACT '09. International Conference on
Conference_Location
Trivandrum, Kerala
Print_ISBN
978-1-4244-5321-4
Electronic_ISBN
978-0-7695-3915-7
Type
conf
DOI
10.1109/ACT.2009.217
Filename
5375748
Link To Document