• DocumentCode
    3367579
  • Title

    Nucleotide genomic signal analysis

  • Author

    Cristea, Paul Dan ; Tuduce, Rodica ; Cornelis, Jan ; Munteanu, Adrian

  • Author_Institution
    Bio-Med. Eng. Center, Univ. "Politeh." of Bucharest, Bucharest
  • fYear
    2008
  • fDate
    14-17 Sept. 2008
  • Firstpage
    219
  • Lastpage
    222
  • Abstract
    Nucleotide genomic signal (NGS) analysis reveals surprising regularities in the distribution of nucleotides and pairs of nucleotides, in both prokaryotes and eukaryotes. These features of genomic sequences would be difficult to identify by using only standard symbolic sequence analysis. NGS analysis is also efficient in the analysis of local structural features, in particular for the study of pathogen variability. This is important for the molecular level detection of mutations that induce drug resistance, providing the clinician with information needed for fast and accurate decisions.
  • Keywords
    genomics; medical signal processing; statistical analysis; eukaryotes; genomic sequences; molecular level detection; nucleotide genomic signal analysis; pathogen variability; prokaryotes; symbolic sequence analysis; Bioinformatics; Biological cells; Drugs; Genetic mutations; Genomics; Immune system; Pathogens; Sequences; Signal analysis; Signal processing; Exon re-orientation; Inserts; Nucleotide genomic signals; Pathogen variability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals and Electronic Systems, 2008. ICSES '08. International Conference on
  • Conference_Location
    Krakow
  • Print_ISBN
    978-83-88309-47-2
  • Electronic_ISBN
    978-83-88309-52-6
  • Type

    conf

  • DOI
    10.1109/ICSES.2008.4673398
  • Filename
    4673398