Signal representation and processing of nucleotide sequences
by Paul Cristea, Rodica Tuduce, Iulian Nastac, Jan Cornelis, Rudi Deklerck, Marius Andrei
International Journal of Functional Informatics and Personalised Medicine (IJFIPM), Vol. 1, No. 3, 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.

Online publication date: Sat, 22-Nov-2008

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