ape 3.0: New tools for distance-based phylogenetics and evolutionary analysis in R
Author(s) -
Andrei-Alin Popescu,
Katharina T. Huber,
Emmanuel Paradis
Publication year - 2012
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bts184
Subject(s) - phylogenetic tree , inference , computer science , phylogenetics , set (abstract data type) , distance matrices in phylogeny , distance matrix , class (philosophy) , data mining , software , information retrieval , theoretical computer science , biology , bioinformatics , artificial intelligence , algorithm , programming language , genetics , gene
Reflecting its continuously increasing versatility and functionality, the popularity of the ape (analysis of phylogenetics and evolution) software package has grown steadily over the years. Among its features, it has a strong distance-based component allowing the user to compute distances from aligned DNA sequences based on most methods from the literature and also build phylogenetic trees from them. However, even data generated with modern genomic approaches can fail to give rise to sufficiently reliable distance estimates. One way to overcome this problem is to exclude such estimates from data analysis giving rise to an incomplete distance data set (as opposed to a complete one). So far their analysis has been out of reach for ape. To remedy this, we have incorporated into ape several methods from the literature for phylogenetic inference from incomplete distance matrices. In addition, we have also extended ape's repertoire for phylogenetic inference from complete distances, added a new object class to efficiently encode sets of splits of taxa, and extended the functionality of some of its existing functions.
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