articlePLoS ONEMar 9, 2010GOLD OA

FastTree 2 – Approximately Maximum-Likelihood Trees for Large Alignments

Lawrence Berkeley National Laboratory · University of California, Berkeley

PubMed
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Abstract

BACKGROUND: We recently described FastTree, a tool for inferring phylogenies for alignments with up to hundreds of thousands of sequences. Here, we describe improvements to FastTree that improve its accuracy without sacrificing scalability. METHODOLOGY/PRINCIPAL FINDINGS: Where FastTree 1 used nearest-neighbor interchanges (NNIs) and the minimum-evolution criterion to improve the tree, FastTree 2 adds minimum-evolution subtree-pruning-regrafting (SPRs) and maximum-likelihood NNIs. FastTree 2 uses heuristics to restrict the search for better trees and estimates a rate of evolution for each site (the "CAT" approximation). Nevertheless, for both simulated and genuine alignments, FastTree 2 is slightly more…

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Authors

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Topics & keywords

Keywords
  • Computer science
  • Heuristics
  • Scalability
  • Maximum likelihood
  • Inference
  • Pruning
  • Tree (set theory)
  • Statistics
UN Sustainable Development Goals
  • Life in Land
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