• Medientyp: E-Artikel
  • Titel: ‘Multi-SpaM’: a maximum-likelihood approach to phylogeny reconstruction using multiple spaced-word matches and quartet trees
  • Beteiligte: Dencker, Thomas; Leimeister, Chris-André; Gerth, Michael; Bleidorn, Christoph; Snir, Sagi; Morgenstern, Burkhard
  • Erschienen: Oxford University Press (OUP), 2020
  • Erschienen in: NAR Genomics and Bioinformatics
  • Sprache: Englisch
  • DOI: 10.1093/nargab/lqz013
  • ISSN: 2631-9268
  • Schlagwörter: Applied Mathematics ; Computer Science Applications ; Genetics ; Molecular Biology ; Structural Biology
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  • Beschreibung: <jats:title>Abstract</jats:title><jats:p>Word-based or ‘alignment-free’ methods for phylogeny inference have become popular in recent years. These methods are much faster than traditional, alignment-based approaches, but they are generally less accurate. Most alignment-free methods calculate ‘pairwise’ distances between nucleic-acid or protein sequences; these distance values can then be used as input for tree-reconstruction programs such as neighbor-joining. In this paper, we propose the first word-based phylogeny approach that is based on ‘multiple’ sequence comparison and ‘maximum likelihood’. Our algorithm first samples small, gap-free alignments involving four taxa each. For each of these alignments, it then calculates a quartet tree and, finally, the program ‘Quartet MaxCut’ is used to infer a super tree for the full set of input taxa from the calculated quartet trees. Experimental results show that trees produced with our approach are of high quality.</jats:p>
  • Zugangsstatus: Freier Zugang