BAli-Phy version 3: model-based co-estimation of alignment and phylogeny
Author(s) -
Benjamin D. Redelings
Publication year - 2021
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/btab129
Subject(s) - computer science , markov chain monte carlo , software , mit license , source code , hidden markov model , data mining , code (set theory) , markov model , markov chain , artificial intelligence , machine learning , set (abstract data type) , bayesian probability , programming language
We describe improvements to BAli-Phy, a Markov chain Monte Carlo (MCMC) program that jointly estimates phylogeny, alignment and other parameters from unaligned sequence data. Version 3 is substantially faster for large trees, and implements covarion models, additional codon models and other new models. It implements ancestral state reconstruction, allows prior selection for all model parameters, and can also analyze multiple genes simultaneously.
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