A new phylogenetic tree sampling method for maximum parsimony bootstrapping and proof-of-concept implementation

Diep Thi Hoang, Le Sy Vinh, Tomas Flouri, Alexandros Stamatakis, Arndt Von Haeseler, Bui Quang Minh

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Citations (Scopus)

    Abstract

    Reconstructing maximum parsimony (MP) trees along with bootstrap for large multiple sequence alignments is a computationally challenging task. In this paper, we present MPBoot, a new method for approximating MP bootstrap based on the idea of a previously introduced method for maximum likelihood bootstrap. MPBoot economizes the computations by only sampling trees on the original alignment and simultaneously calculating exact parsimony scores for all bootstrap alignments. Preliminary experiments on simulated data showed that MPBoot is about 2-3.5 times faster and yields better parsimony scores than a fast bootstrap procedure implemented in TNT. MPBoot also produced less biased support value than TNT for small simulated data sets (<= 200 sequences). However, for large number of sequences (>=500) MPBoot overestimates the probability that a clade is true, i.e., results in likely high false positive rates. As MPBoot is currently a proof-of-concept implementation, more work is to understand the limitations of the method.

    Original languageEnglish
    Title of host publicationProceedings - 2016 8th International Conference on Knowledge and Systems Engineering, KSE 2016
    EditorsMinh Le Nguyen, Le Sy Vinh, Lam Thu Bui, Van-Giang Nguyen, Yew-Soon Ong, Yew-Soon Ong, Keiji Hirata
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1-6
    Number of pages6
    ISBN (Electronic)9781467389297
    DOIs
    Publication statusPublished - 28 Nov 2016
    Event8th International Conference on Knowledge and Systems Engineering, KSE 2016 - Hanoi, Viet Nam
    Duration: 6 Oct 20168 Oct 2016

    Publication series

    NameProceedings - 2016 8th International Conference on Knowledge and Systems Engineering, KSE 2016

    Conference

    Conference8th International Conference on Knowledge and Systems Engineering, KSE 2016
    Country/TerritoryViet Nam
    CityHanoi
    Period6/10/168/10/16

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