Simulating trees with millions of species
Author(s) -
Stilianos Louca
Publication year - 2020
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/btaa031
Subject(s) - most recent common ancestor , bootstrapping (finance) , phylogenetic tree , extant taxon , computer science , software , outlier , tree (set theory) , extinction (optical mineralogy) , parametric statistics , data mining , biology , evolutionary biology , artificial intelligence , statistics , mathematics , paleontology , econometrics , mathematical analysis , biochemistry , gene , programming language
The birth-death (BD) model constitutes the theoretical backbone of most phylogenetic tools for reconstructing speciation/extinction dynamics over time. Performing simulations of reconstructed trees (linking extant taxa) under the BD model in backward time, conditioned on the number of species sampled at present day and, in some cases, a specific time interval since the most recent common ancestor (MRCA), is needed for assessing the performance of reconstruction tools, for parametric bootstrapping and for detecting data outliers. The few simulation tools that exist scale poorly to large modern phylogenies, which can comprise thousands or even millions of tips (and rising).
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