Cristea, P., Tuduce, R., Nastac, I., Cornelis, J., Deklerck, R., & Andrei, M. (2008). Signal representation and processing of nucleotide sequences. International Journal of Functional Informatics and Personalised Medicine, 1(3), 253-268.

@article{9de4de46692943aeae7b63769e574af5,
title = "Signal representation and processing of nucleotide sequences",
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.",
keywords = "nucleotide genomic signals, pathogen variability, multiple drug resistance",
author = "Paul Cristea and Rodica Tuduce and Iulian Nastac and Jan Cornelis and Rudi Deklerck and Marius Andrei",
year = "2008",
language = "English",
volume = "1",
pages = "253--268",
journal = "International Journal of Functional Informatics and Personalised Medicine",
issn = "1756-2104",
publisher = "Inderscience Publishers",
number = "3",
}