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A Novel Optimized Approach for Gene Identification in DNA Sequences

Gene identification is an open optimization problem in Bioinformatics. Exponential growth of biological data needs efficient methods for protein translation. Several approaches have been proposed that rely on indicator sequences, statistical and DSP techniques but yet an optimized procedure is requi...

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Main Authors: Ahmad, Muneer, Azween, Abdullah, Buragga, Khalid
Format: Citation Index Journal
Published: Science Aleret 2011
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utp.edu.my/3156/1/IC-22776-JAS-ANSI%20.pdf
http://eprints.utp.edu.my/3156/2/22776-22776.pdf
http://scialert.net/abstract/?doi=jas.0000.22776.22776&linkid=abst
http://eprints.utp.edu.my/3156/
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spelling my.utp.eprints.31562017-01-19T08:23:05Z A Novel Optimized Approach for Gene Identification in DNA Sequences Ahmad, Muneer Azween, Abdullah Buragga, Khalid QA75 Electronic computers. Computer science Gene identification is an open optimization problem in Bioinformatics. Exponential growth of biological data needs efficient methods for protein translation. Several approaches have been proposed that rely on indicator sequences, statistical and DSP techniques but yet an optimized procedure is required to add an optimal solution. A novel approach for gene identification has been proposed in this paper by employing discrete wavelet transforms for noise reduction in DNA sequences and a novel indicator sequence has been introduced for better signal mapping. Wavelet transforms greatly reduced the background noise and visible peaks of genic regions were found in power spectral estimation. The comparative analysis of proposed and existing approaches showed significant results for novel approach over prevailing solutions for datasets Yersinia pestis (ACCESSION: NC_004088, 4000 bp) and gene F56F11.5 of C elegans (Accession number AF099922) from location 7021. The same significance was observed with four other experiments with real datasets taken from NCBI. Science Aleret 2011 Citation Index Journal NonPeerReviewed application/zip http://eprints.utp.edu.my/3156/1/IC-22776-JAS-ANSI%20.pdf application/pdf http://eprints.utp.edu.my/3156/2/22776-22776.pdf http://scialert.net/abstract/?doi=jas.0000.22776.22776&linkid=abst Ahmad, Muneer and Azween, Abdullah and Buragga, Khalid (2011) A Novel Optimized Approach for Gene Identification in DNA Sequences. [Citation Index Journal] http://eprints.utp.edu.my/3156/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Ahmad, Muneer
Azween, Abdullah
Buragga, Khalid
A Novel Optimized Approach for Gene Identification in DNA Sequences
description Gene identification is an open optimization problem in Bioinformatics. Exponential growth of biological data needs efficient methods for protein translation. Several approaches have been proposed that rely on indicator sequences, statistical and DSP techniques but yet an optimized procedure is required to add an optimal solution. A novel approach for gene identification has been proposed in this paper by employing discrete wavelet transforms for noise reduction in DNA sequences and a novel indicator sequence has been introduced for better signal mapping. Wavelet transforms greatly reduced the background noise and visible peaks of genic regions were found in power spectral estimation. The comparative analysis of proposed and existing approaches showed significant results for novel approach over prevailing solutions for datasets Yersinia pestis (ACCESSION: NC_004088, 4000 bp) and gene F56F11.5 of C elegans (Accession number AF099922) from location 7021. The same significance was observed with four other experiments with real datasets taken from NCBI.
format Citation Index Journal
author Ahmad, Muneer
Azween, Abdullah
Buragga, Khalid
author_facet Ahmad, Muneer
Azween, Abdullah
Buragga, Khalid
author_sort Ahmad, Muneer
title A Novel Optimized Approach for Gene Identification in DNA Sequences
title_short A Novel Optimized Approach for Gene Identification in DNA Sequences
title_full A Novel Optimized Approach for Gene Identification in DNA Sequences
title_fullStr A Novel Optimized Approach for Gene Identification in DNA Sequences
title_full_unstemmed A Novel Optimized Approach for Gene Identification in DNA Sequences
title_sort novel optimized approach for gene identification in dna sequences
publisher Science Aleret
publishDate 2011
url http://eprints.utp.edu.my/3156/1/IC-22776-JAS-ANSI%20.pdf
http://eprints.utp.edu.my/3156/2/22776-22776.pdf
http://scialert.net/abstract/?doi=jas.0000.22776.22776&linkid=abst
http://eprints.utp.edu.my/3156/
_version_ 1738655248601317376
score 13.211869

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