Protein coding identification using modified gabor wavelet transform on multicore system
The gene identification problem, which identifies the protein-coding regions (exons) in DNA sequences through computational means, is of great importance nowadays. A DNA sequence can be divided into genes and intergenic spaces. In eukaryotic genes, these regions can be divided into two sub-regions c...
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Online Access: | http://irep.iium.edu.my/21667/ http://irep.iium.edu.my/21667/ http://irep.iium.edu.my/21667/1/Chapter_34.pdf |
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iium-216672012-09-03T01:44:27Z http://irep.iium.edu.my/21667/ Protein coding identification using modified gabor wavelet transform on multicore system Gunawan, Teddy Surya TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices The gene identification problem, which identifies the protein-coding regions (exons) in DNA sequences through computational means, is of great importance nowadays. A DNA sequence can be divided into genes and intergenic spaces. In eukaryotic genes, these regions can be divided into two sub-regions called coding regions (exons) and non-coding regions (introns). The intergenic and intronic regions make up most of the genome. For example, in the human genome, the exonic fraction is as low as 2%. It is well known that protein-coding regions of DNA sequences tend to exhibit a period-3 pattern because of the codon structure involved in the translation of base sequences into amino acids [1-4]. Many researchers have regarded the period-3 property to be a good indicator ofgene location. IIUM Press 2011 Book Chapter PeerReviewed application/pdf en http://irep.iium.edu.my/21667/1/Chapter_34.pdf Gunawan, Teddy Surya (2011) Protein coding identification using modified gabor wavelet transform on multicore system. In: Human BehaviourRrecognition, Identification and Computer Interaction. IIUM Press, Kuala Lumpur, pp. 334-343. ISBN 978-967-418-156-7 http://rms.research.iium.edu.my/bookstore/default.aspx |
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International Islamic University Malaysia |
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English |
topic |
TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices |
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TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Gunawan, Teddy Surya Protein coding identification using modified gabor wavelet transform on multicore system |
description |
The gene identification problem, which identifies the protein-coding regions (exons) in DNA sequences through computational means, is of great importance nowadays. A DNA sequence can be divided into genes and intergenic spaces. In eukaryotic genes, these regions can be divided into two sub-regions called coding regions (exons) and non-coding regions (introns). The intergenic and intronic regions make up most of the genome. For example, in the human genome, the exonic fraction is as low as 2%. It is well known that protein-coding regions of DNA sequences tend to exhibit a period-3 pattern because of the codon structure involved in
the translation of base sequences into amino acids [1-4]. Many researchers have regarded the period-3 property to be a good indicator ofgene location. |
format |
Book Chapter |
author |
Gunawan, Teddy Surya |
author_facet |
Gunawan, Teddy Surya |
author_sort |
Gunawan, Teddy Surya |
title |
Protein coding identification using modified gabor wavelet transform on multicore system |
title_short |
Protein coding identification using modified gabor wavelet transform on multicore system |
title_full |
Protein coding identification using modified gabor wavelet transform on multicore system |
title_fullStr |
Protein coding identification using modified gabor wavelet transform on multicore system |
title_full_unstemmed |
Protein coding identification using modified gabor wavelet transform on multicore system |
title_sort |
protein coding identification using modified gabor wavelet transform on multicore system |
publisher |
IIUM Press |
publishDate |
2011 |
url |
http://irep.iium.edu.my/21667/ http://irep.iium.edu.my/21667/ http://irep.iium.edu.my/21667/1/Chapter_34.pdf |
first_indexed |
2023-09-18T20:33:01Z |
last_indexed |
2023-09-18T20:33:01Z |
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1777408861626433536 |