DSpace About DSpace Software

Dyuthi @ CUSAT >
Electronics And Communication Engineering >
Faculty >
P Mythili >

Please use this identifier to cite or link to this item: http://dyuthi.cusat.ac.in/purl/4522

Title: Genetic algorithm based indicator sequence method for exon prediction
Authors: Mythili, P
Biju, V G
Keywords: Exon
genetic algorithm
Binary indicator (BI)
Electron ion interaction pseudo potential(EIIP)
Issue Date: 28-Dec-2009
Publisher: IEEE
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
Description: Advances in Computing, Control, & Telecommunication Technologies, 2009. ACT'09. International Conference on,PP 856-858
URI: http://dyuthi.cusat.ac.in/purl/4522
Appears in Collections:P Mythili

Files in This Item:

File Description SizeFormat
Genetic algorithm based indicator sequence methodfor exon prediction.pdfpdf313.48 kBAdobe PDFView/Open
View Statistics

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Valid XHTML 1.0! DSpace Software Copyright © 2002-2010  Duraspace - Feedback