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Signal representation and processing of nucleotide sequences This publication appears in: International Journal of Functional Informatics and Personalised Medicine Authors: P. Cristea, R. Tuduce, I. Nastac, J. Cornelis, R. Deklerck and M. Andrei Volume: 1 Issue: 3 Pages: 253-268 Publication Year: 2008
Abstract: Sets of related signals can be represented by separating their joint
variation and showing the individual signal offsets with respect to this
reference. An example is the Genomic Signal Analysis (GSA) of pathogen
variability. The conversion of symbolic nucleotide sequences to genomic
signals allows to use signal processing methods to analyse genomic data.
This approach reveals striking regularities in the distribution of nucleotides and
pair of nucleotides along the sequences, in both prokaryotes and eukaryotes.
Genomic signals can also be used for sequence prediction, similarly to time
series prediction. The methodology is also adequate for studying the
development of pathogen multiple resistance to drugs.
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