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A Better Way for Exon Identification in DNA Splicing

Ahmad, Muneer and Azween, Abdullah and Buragga, Khalid (2010) A Better Way for Exon Identification in DNA Splicing. In: 2010 IEEE EMBS Conference on Biomedical Engineering & Sciences , 30/11-2/12, Kuala Lumpur, Malaysia.

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Abstract

The strands of chromosomes are supposed to be split into genic and intergenic regions. Gene identification is an optimization problem in Eukaryotic DNA splicing. An optimal solution is essential which may help in better protein translation. We have proposed a novel approach for gene identification by employing discrete wavelet transforms for noise reduction in DNA sequences and introducing a new indicator sequence for better signal generation. 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 over dataset Yersinia pestis (ACCESSION: NC_004088, 4000 bp, four genes and exons from location 5000 bp to 8999 bp). Similar outperformace was observed over many other datasets.

Item Type:Conference or Workshop Item (Paper)
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments / MOR / COE:Research Institutes > Megacities
ID Code:3157
Deposited By: Assoc Prof Dr Azween Abdullah
Deposited On:21 Apr 2011 02:36
Last Modified:31 Dec 2012 04:07

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