A large version of the small parsimony problem

Jakob Fredslund, Jotun Hein, Tejs Scharling

    Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

    10 Citations (Scopus)

    Abstract

    Given a multiple alignment over $k$ sequences, an evolutionary tree
    relating the sequences, and a subadditive gap penalty function (e.g.
    an affine function), we reconstruct the internal nodes of the tree
    optimally: we find the optimal explanation in terms of indels
    of the observed gaps and find the most parsimonious assignment of
    nucleotides. The gaps of the alignment are represented in a
    so-called gap graph, and through theoretically sound preprocessing
    the graph is reduced to pave the way for a running time which in all
    but the most pathological examples is far better than the
    exponential worst case time. E.g. for a tree with nine leaves and a
    random alignment of length 10.000 with 60% gaps, the running time
    is on average around 45 seconds. For a real alignment of length 9868 of
    nine HIV-1 sequences, the running time is less than one second.
    Original languageEnglish
    Title of host publicationProceedings of the 3rd workshop on algorithms in bioinformatics (WABI 2003)
    Number of pages16
    Publication date2003
    Pages417-432
    Publication statusPublished - 2003
    EventWorkshop on algorithms in bioinformatics (WABI 2003) - Budapest, Hungary
    Duration: 17 Dec 2010 → …
    Conference number: 3

    Conference

    ConferenceWorkshop on algorithms in bioinformatics (WABI 2003)
    Number3
    Country/TerritoryHungary
    CityBudapest
    Period17/12/2010 → …

    Fingerprint

    Dive into the research topics of 'A large version of the small parsimony problem'. Together they form a unique fingerprint.

    Cite this