%D 2010
%R 10.1109/IECBES.2010.5742274
%O cited By 1; Conference of 2010 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2010 ; Conference Date: 30 November 2010 Through 2 December 2010; Conference Code:84636
%J Proceedings of 2010 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2010
%L scholars871
%K Background noise; Discrete wavelets; DNA splicing; Genic regions; indicator sequence; introns, Biomedical engineering; DNA; DNA sequences; Genes; Nucleic acids; Optimization; Signal generators; Spectrum analysis, Discrete wavelet transforms
%X 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. © 2010 IEEE.
%P 422-426
%C Kuala Lumpur
%T A better way for exon identification in DNA splicing
%A M. Ahmad
%A A. Abdullah
%A K. Buragga