Discrete wavelet transform de-noising in eukaryotic gene splicing.

ABSTRACT:

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 o

SUBMITTER: George TP 

PROVIDER: S-EPMC3009523 | biostudies-literature | 2010 Jan

REPOSITORIES: biostudies-literature