• DocumentCode
    1518243
  • Title

    Discovering the dynamics of microbial genomes

  • Author

    Dalevi, Daniel ; Andersson, Siv G E

  • Author_Institution
    Dept. of Molecular Evolution, Uppsala Univ., Sweden
  • Volume
    20
  • Issue
    4
  • fYear
    2001
  • Firstpage
    55
  • Lastpage
    60
  • Abstract
    Although the molecular processes that generate genome diversity at the sequence level have been described in great detail, the underlying causes of genome expansion, degradation, rearrangement, and transfer of genes are less well understood. In this article, we describe the algorithms most frequently used to infer evolutionary relationships based on nucleotide sequence data. We also discuss novel phylogenetic schemes where the gene in the genome, rather than the nucleotide in the gene, represents the basic unit of comparison
  • Keywords
    DNA; biology computing; evolution (biological); genetics; inference mechanisms; microorganisms; molecular biophysics; physiological models; bacteria; bioinformatics; biological distances; evolutionary relationships; gene order data; genome diversity; learning rules; microbial genome dynamics; models development; molecular biology; nucleotide sequence data; phylogenetic schemes; Bioinformatics; DNA; Evolution (biology); Genomics; Humans; Microorganisms; Organisms; Pathogens; Phylogeny; Sequences;
  • fLanguage
    English
  • Journal_Title
    Engineering in Medicine and Biology Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0739-5175
  • Type

    jour

  • DOI
    10.1109/51.940047
  • Filename
    940047