• DocumentCode
    2075349
  • Title

    Exploiting Codon-Triplets Association for Genome Primary Structure Analysis

  • Author

    Lousado, José P. ; Moura, Gabriela R. ; Santos, Manuel A S ; Oliveira, José Luis

  • fYear
    2008
  • fDate
    June 29 2008-July 5 2008
  • Firstpage
    155
  • Lastpage
    158
  • Abstract
    The way evolution shapes the arrangement of synonymous codons within open reading frames (ORF) for fine tuning mRNA decoding efficiency is not yet understood. Since the ribosome has 3 tRNA binding sites, the context of triplets should be relevant to decoding fidelity and efficiency. We have developed a software application for large-scale analysis of codon-triplet associations to shed new light into this problem. The developed algorithms identify codon-triplets context biases, allowing for large scale comparative codon-triplet analysis and for identification of alterations to the standard genetic code.
  • Keywords
    biology computing; data mining; decoding; genetics; GeneSplit software framework; bioinformatics; codon-triplets association; comparative genomics; data mining; genetic code; genome primary structure analysis; mRNA decoding efficiency; open reading frames; synonymous codon arrangement; Algorithm design and analysis; Application software; Bioinformatics; Code standards; Decoding; Genetics; Genomics; Large-scale systems; Shape; Standards development; Bioinformatics; comparative genomics; data mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biocomputation, Bioinformatics, and Biomedical Technologies, 2008. BIOTECHNO '08. International Conference on
  • Conference_Location
    Bucharest
  • Print_ISBN
    978-0-7695-3191-5
  • Electronic_ISBN
    978-0-7695-3191-5
  • Type

    conf

  • DOI
    10.1109/BIOTECHNO.2008.21
  • Filename
    4561151