• DocumentCode
    3118321
  • Title

    Genomic signature: the mathematical functions associated with it

  • Author

    De Giacomo, N. ; de Santis, F.

  • Author_Institution
    Dept. of Informatica e Applicazioni R.M. Capocelli, Univ. of Salerno, Baronissi, Italy
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    102
  • Lastpage
    103
  • Abstract
    Extensive data analyses support the proposal that each living organism possess a genomic signature consisting of oligonucleotide relative abundance values calculated from genomic sequences. The Chaos Game Representation shows that the core features characterizing the whole genome are preserved in short subsequences of it, validating the idea of a genomic signature. This paper present an alternative approach to the genomic signature detection. Although ensuring the same information retrieved from classical methods, it presents the advantage to be conceptually very simple and computationally less expensive.
  • Keywords
    chaos; genetics; interpolation; physiological models; polynomials; Chaos Game Representation; computationally less expensive; conceptually very simple; core features; genomic signature; living organism; mathematical functions; whole genome characterization; Bioinformatics; Chaos; DNA; Data analysis; Frequency estimation; Frequency measurement; Genetics; Genomics; Organisms; Sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Molecular, Cellular and Tissue Engineering, 2002. Proceedings of the IEEE-EMBS Special Topic Conference on
  • Print_ISBN
    0-7803-7557-2
  • Type

    conf

  • DOI
    10.1109/MCTE.2002.1175025
  • Filename
    1175025