Identification of coding and non-coding sequences using local holder exponent formalism

TitleIdentification of coding and non-coding sequences using local holder exponent formalism
Publication TypeJournal Article
Year of Publication2005
AuthorsKulkarni, OC, Vigneshwar, R, Jayaraman, VK, Kulkarni, BD
JournalBioinformatics
Volume21
Issue20
Pagination3818-3823
Date PublishedOCT
Type of ArticleArticle
ISSN1367-4803
Abstract

Motivation: Accurate prediction of genes in genomes has always been a challenging task for bioinformaticians and computational biologists. The discovery of existence of distinct scaling relations in coding and non-coding sequences has led to new perspectives in the understanding of the DNA sequences. This has motivated us to exploit the differences in the local singularity distributions for characterization and classification of coding and non-coding sequences. Results: The local singularity density distribution in the coding and non-coding sequences of four genomes was first estimated using the wavelet transform modulus maxima methodology. Support vector machines classifier was then trained with the extracted features. The trained classifier is able to provide an average test accuracy of 97.7%. The local singularity features in a DNA sequence can be exploited for successful identification of coding and non-coding sequences.

DOI10.1093/bioinformatics/bti639
Type of Journal (Indian or Foreign)Foreign
Impact Factor (IF)5.766
Divison category: 
Chemical Engineering & Process Development