• DocumentCode
    636539
  • Title

    A software tool for the selection of Tandem Repeats for MLVA analysis

  • Author

    D´Avenio, Giuseppe ; Grigioni, M. ; Creti, Roberta

  • Author_Institution
    Dept. of Technol. & Health, Italian Nat. Inst. of Health (ISS), Rome, Italy
  • fYear
    2013
  • fDate
    3-7 July 2013
  • Firstpage
    3467
  • Lastpage
    3470
  • Abstract
    DNA fingerprinting is a reliable tool for identifying, tracing and characterizing bacterial clonal population structure. A recent technique is given by the Multiple Loci VNTR Analysis (MLVA), where VNTR denotes Variable Number of Tandem Repeats, that meets the need for fast and reliable typing methods by combining the polymorphic nature of tandem repeats (TR) and the use of Polymerase Chain Reaction (PCR) methodology. The key point in the MLVA technique is the selection of a setof TRs which have a sufficient variability (polymorphism) across strains, in order to allow easy strain typing. In this work, we present a program which analyses a set of N genomes and outputs the list of shared TRs and associated information. The program compares the TRs for each possible genome pair, and finds the sets of TRs that are shared by at least M genomes. The subsequent determination of ??virtual amplicons?? enables the user to consider the actual polymorphism exhibited by the different strains with regards to each given TR, which is the critical parameter for the experimental strain typing.
  • Keywords
    DNA; biological techniques; biology computing; microorganisms; molecular biophysics; molecular configurations; DNA fingerprinting; MLVA analysis; PCR methodology; bacterial clonal population structure; multiple loci VNTR analysis; polymerase chain reaction; polymorphic tandem repeats; software tool; tandem repeat selection; variable number of tandem repeats; DNA; Genomics; Microorganisms; Reliability; Software tools; Strain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
  • Conference_Location
    Osaka
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2013.6610288
  • Filename
    6610288