Computational approaches for gene prediction: A comparative survey

Israa M AL-TURAIKI; Hassan MATHKOUR; Ameur TOUIR; M.S AKSOY; Alaaeldin HAFEZ

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Computational approaches for gene prediction: A comparative survey

Author(s)

Israa M AL-TURAIKI College of Computer & Information Sciences, King Saud University, Riyadh, SAUDI ARABIA

Hassan MATHKOUR College of Computer & Information Sciences, King Saud University, Riyadh, SAUDI ARABIA

Ameur TOUIR College of Computer & Information Sciences, King Saud University, Riyadh, SAUDI ARABIA

M.S AKSOY College of Computer & Information Sciences, King Saud University, Riyadh, SAUDI ARABIA

Alaaeldin HAFEZ College of Computer & Information Sciences, King Saud University, Riyadh, SAUDI ARABIA

Abstract

Accurate gene structure prediction plays a fundamental role in functional annotation of genes. The main focus of gene prediction methods is to find patterns in long DNA sequences that indicate the presence of genes. The problem of gene prediction is an important problem In the field of bioinformatics. With the explosive growth of genomic information there is a need for computational approaches that facilitate gene location, structure and functional prediction. In this paper, we survey and compare various computational approaches for gene predictions. We shed light on different gene prediction programs and discuss their performance.

Publication Details

Page(s) 83-90

DOI DOI not available

Published Journal: Science International, Volume: 23, Issue: 2, Year: 2011

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