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Classification of splice-junction sequences via weighted position specific scoring approach

Paper ID Volume ID Publish Year Pages File Format Full-Text
15284 1400 2010 7 PDF Available
Title
Classification of splice-junction sequences via weighted position specific scoring approach
Abstract

The prediction of the complete structure of genes is one of the very important tasks of bioinformatics, especially in eukaryotes. A crucial part in the gene structure prediction is to determine the splice sites in the coding region. Identification of splice sites depends on the precise recognition of the boundaries between exons and introns of a given DNA sequence. This problem can be formulated as a classification of sequence elements into ‘exon–intron’ (EI), ‘intron–exon’ (IE) or ‘None’ (N) boundary classes. In this study we propose a new Weighted Position Specific Scoring Method (WPSSM) to recognize splice sites which uses a position-specific scoring matrix constructed by nucleotide base frequencies. A genetic algorithm is used in order to tune the weight and threshold parameters of the positions on. This method consists of two phases: learning phase and identification phase. The proposed WPSS method poses efficient results compared with the performance of many methods proposed in the literature. Computational experiments are performed on the DNA sequence datasets from ‘UCI Repository of machine learning databases’.

Graphical abstractFigure optionsDownload full-size imageDownload as PowerPoint slideResearch highlights▶ A weighted position specific scoring method is proposed to recognize splice sites. ▶ A genetic optimization algorithm is used to adjust the parameters of the method. ▶ Sensitivity = 0.9634, specificity = 0.9753, accuracy = 0.9714 and MCC = 0.9356.

Keywords
Exon–intron splice sites; Weighted position specific scoring method; Genetic algorithm
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Publisher
Database: Elsevier - ScienceDirect
Journal: Computational Biology and Chemistry - Volume 34, Issues 5–6, December 2010, Pages 293–299
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us