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GeLL: a generalized likelihood library for phylogenetic models
Author(s) -
Daniel Money,
Simon Whelan
Publication year - 2015
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/btv126
Subject(s) - phylogenetic tree , sequence (biology) , substitution (logic) , computer science , java , license , data mining , theoretical computer science , information retrieval , algorithm , artificial intelligence , programming language , biology , genetics , gene , operating system , biochemistry
Phylogenetic models are an important tool in molecular evolution allowing us to study the pattern and rate of sequence change. The recent influx of new sequence data in the biosciences means that to address evolutionary questions, we need a means for rapid and easy model development and implementation. Here we present GeLL, a Java library that lets users use text to quickly and efficiently define novel forms of discrete data and create new substitution models that describe how those data change on a phylogeny. GeLL allows users to define general substitution models and data structures in a way that is not possible in other existing libraries, including mixture models and non-reversible models. Classes are provided for calculating likelihoods, optimizing model parameters and branch lengths, ancestral reconstruction and sequence simulation.

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