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BMCBI
2010

Discrete wavelet transform de-noising in eukaryotic gene splicing

11 years 9 months ago
Discrete wavelet transform de-noising in eukaryotic gene splicing
Background: 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. Methods: 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: 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. Conclusion: Alterations to the proven methods as done by the authors, improves performance of exon ...
Tina P. George, Tessamma Thomas
Added 08 Dec 2010
Updated 08 Dec 2010
Type Journal
Year 2010
Where BMCBI
Authors Tina P. George, Tessamma Thomas
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