DocumentCode
3293059
Title
A New Information Theoretic Approach to Exon - Intron Classification
Author
Mereuta, Serban ; Munteanu, Valeriu
Author_Institution
Tech. Univ. "Gh. Asachi", Iasi
Volume
2
fYear
2007
fDate
13-14 July 2007
Firstpage
1
Lastpage
4
Abstract
Methods from information theory can be used in genomic analysis to provide a more meaningful insight into the genetic process. Given a sequence of amino acids, we compute the values of several new entropic measures defined for ergodic sources with memory. In comparison with those obtained in the case of random, computer generated sequences, we can distinguish protein coding regions from non-coding ones.
Keywords
DNA; biology; entropy; genetics; proteins; sequences; DNA; amino acid sequence; entropy; ergodic source; exon-intron classification; genetic process; genomic analysis; information theory; protein coding region; Amino acids; Application specific processors; Bioinformatics; DNA; Genetics; Genomics; Information analysis; Information theory; Proteins; Sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Circuits and Systems, 2007. ISSCS 2007. International Symposium on
Conference_Location
Iasi
Print_ISBN
1-4244-0968-3
Electronic_ISBN
1-4244-0969-1
Type
conf
DOI
10.1109/ISSCS.2007.4292771
Filename
4292771
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