Literature DB >> 27866979

Species tree estimation using Neighbor Joining.

Joseph Rusinko1, Matthew McPartlon2.   

Abstract

Recent theoretical work has demonstrated that Neighbor Joining applied to concatenated DNA sequences is a statistically consistent method of species tree reconstruction. This brief note compares the accuracy of this approach to other popular statistically consistent species tree reconstruction algorithms including ASTRAL-II Neighbor Joining using average gene-tree internode distances (NJst) and SVD-Quartets+PAUP*, as well as concatenation using maximum likelihood (RaxML). We find that the faster Neighbor Joining, applied to concatenated sequences, is among the most effective of these methods for accurate species tree reconstruction.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Keywords:  Coalescent model; Neighbor Joining; Species tree reconstruction

Mesh:

Year:  2016        PMID: 27866979     DOI: 10.1016/j.jtbi.2016.11.005

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  2 in total

1.  A stochastic Farris transform for genetic data under the multispecies coalescent with applications to data requirements.

Authors:  Gautam Dasarathy; Elchanan Mossel; Robert Nowak; Sebastien Roch
Journal:  J Math Biol       Date:  2022-04-08       Impact factor: 2.164

2.  Whole-genome sequences of Malawi cichlids reveal multiple radiations interconnected by gene flow.

Authors:  Milan Malinsky; Hannes Svardal; Alexandra M Tyers; Eric A Miska; Martin J Genner; George F Turner; Richard Durbin
Journal:  Nat Ecol Evol       Date:  2018-11-19       Impact factor: 15.460

  2 in total

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