• DocumentCode
    1992123
  • Title

    Signal Representation and Processing of Nucleotide Sequences

  • Author

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

  • Author_Institution
    Univ. "Politehnica" of Bucharest, Bucharest
  • fYear
    2007
  • fDate
    14-17 Oct. 2007
  • Firstpage
    1214
  • Lastpage
    1219
  • 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.
  • Keywords
    biochemistry; cellular biophysics; genetics; signal processing; eukaryotes; genomic signal analysis; nucleotide distribution; pathogen variability; prokaryotes; signal processing; signal representation; symbolic nucleotide sequences; Bioinformatics; Biomedical signal processing; Drugs; Genomics; Immune system; Pathogens; Sequences; Signal analysis; Signal processing; Signal representations; Multiple Drug Resistance; Nucleotide Genomic Signals; Pathogen Variability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Bioengineering, 2007. BIBE 2007. Proceedings of the 7th IEEE International Conference on
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-1509-0
  • Type

    conf

  • DOI
    10.1109/BIBE.2007.4375718
  • Filename
    4375718