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Please use this identifier to cite or link to this item:
http://purl.org/purl/4571
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Title: | Discrete wavelet transform de-noising in eukaryotic gene splicing |
Authors: | Tessamma, Thomas Tina, George P |
Issue Date: | 18-Jan-2010 |
Publisher: | BioMed Central Ltd |
Abstract: | This paper compares the most common digital signal processing methods of exon
prediction in eukaryotes, and also proposes a technique for noise suppression in exon prediction.
The specimen used here which has relevance in medical research, has been taken from the public
genomic database - GenBank.Here exon prediction has been done using the digital signal processing methods viz.
binary method, EIIP (electron-ion interaction psuedopotential) method and filter methods. Under
filter method two filter designs, and two approaches using these two designs have been tried. The
discrete wavelet transform has been used for de-noising of the exon plots.Results of exon prediction based on the methods mentioned above, which give values
closest to the ones found in the NCBI database are given here. The exon plot de-noised using
discrete wavelet transform is also given.Alterations to the proven methods as done by the authors, improves performance
of exon prediction algorithms. Also it has been proven that the discrete wavelet transform is an
effective tool for de-noising which can be used with exon prediction algorithms |
Description: | BMC Bioinformatics 2010, 11(Suppl 1):S50 |
URI: | http://dyuthi.cusat.ac.in/purl/4571 |
Appears in Collections: | Dr.Tessamma Thomas
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