• DocumentCode
    778320
  • Title

    Genome sequence assembly: algorithms and issues

  • Author

    Pop, Mihai ; Salzberg, Steven L. ; Shumway, Martin

  • Author_Institution
    Inst. for Genomic Res., Rockville, MD, USA
  • Volume
    35
  • Issue
    7
  • fYear
    2002
  • fDate
    7/1/2002 12:00:00 AM
  • Firstpage
    47
  • Lastpage
    54
  • Abstract
    Ultimately, genome sequencing seeks to provide an organism´s complete DNA sequence. Automation of DNA sequencing allowed scientists to decode entire genomes and gave birth to genomics, the analytic and comparative study of genomes. Although genomes can include billions of nucleotides, the chemical reactions researchers use to decode the DNA are accurate for only about 600 to 700 nucleotides at a time. The DNA reads that sequencing produces must then be assembled into a complete picture of the genome. Errors and certain DNA characteristics complicate assembly. Resolving these problems entails an additional and costly finishing phase that involves extensive human intervention. Assembly programs can dramatically reduce this cost by taking into account additional information obtained during finishing. The paper considers how algorithms that can assemble millions of DNA fragments into gene sequences underlie the current revolution in biotechnology, helping researchers build the growing database of complete genomes
  • Keywords
    biology computing; biotechnology; database management systems; genetics; DNA fragments; DNA sequence; biotechnology; chemical reactions; database; gene sequences; genome sequence assembly; genomics; nucleotides; Assembly; Automation; Bioinformatics; Chemicals; DNA; Decoding; Finishing; Genomics; Humans; Sequences;
  • fLanguage
    English
  • Journal_Title
    Computer
  • Publisher
    ieee
  • ISSN
    0018-9162
  • Type

    jour

  • DOI
    10.1109/MC.2002.1016901
  • Filename
    1016901