Inference of Large Phylogenies Using Neighbour-Joining

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  • Bioinformatics Research Centre (BiRC)
  • Department of Computer Science
The neighbour-joining method is a widely used method for phylogenetic reconstruction which scales to thousands of taxa. However, advances in sequencing technology have made data sets with more than 10,000 related taxa widely available. Inference of such large phylogenies takes hours or days using the Neighbour-Joining method on a normal desktop computer because of the O(n^3) running time. RapidNJ is a search heuristic which reduce the running time of the Neighbour-Joining method significantly but at the cost of an increased memory consumption making inference of large phylogenies infeasible. We present two extensions for RapidNJ which reduce the memory requirements and \makebox{allows} phylogenies with more than 50,000 taxa to be inferred efficiently on a desktop computer. Furthermore, an improved version of the search heuristic is presented which reduces the running time of RapidNJ on many data sets.
Original languageEnglish
JournalBiomedical Engineering Systems and Technologies
Pages (from-to)334-344
Number of pages10
Publication statusPublished - 2011

    Research areas

  • Neighbour-Joining, algorithmics, bioinformatics

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