Title :
A New Information Theoretic Approach to Exon - Intron Classification
Author :
Mereuta, Serban ; Munteanu, Valeriu
Author_Institution :
Tech. Univ. "Gh. Asachi", Iasi
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;
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
DOI :
10.1109/ISSCS.2007.4292771
