Signal Representation and Processing of Nucleotide Sequences

Paul Cristea, Rodica Tuduce, Iulian Nastac, Jan Cornelis, Rudi Deklerck, Marius Andrei

Research output: Chapter in Book/Report/Conference proceedingConference paper

15 Citations (Scopus)

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 of pathogen variability. The conversion of symbolic nucleotide sequences to genomic signals allows to use signal processing methods to analyze 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.
Original languageEnglish
Title of host publicationIEEE BIBE 2007 – 7th International Conference on Bioinformatics and BioEngineering, 14-17 Oct, Boston, USA
PublisherIEEE
Pages1214-1217
Number of pages4
VolumeII
ISBN (Print)978-1-4244-1509-0
Publication statusPublished - Oct 2007
EventFinds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet - Stockholm, Sweden
Duration: 21 Sep 200925 Sep 2009

Publication series

NameIEEE BIBE 2007 – 7th International Conference on Bioinformatics and BioEngineering, 14-17 Oct, Boston, USA

Conference

ConferenceFinds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet
Country/TerritorySweden
CityStockholm
Period21/09/0925/09/09

Keywords

  • genomic signal
  • Nucleotide Sequences
  • pathogen variability
  • pathogen multiple resistance

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