GeLL: a generalized likelihood library for phylogenetic models

نویسندگان

  • Daniel Money
  • Simon Whelan
چکیده

UNLABELLED 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. AVAILABILITY AND IMPLEMENTATION http://phylo.bio.ku.edu/GeLL under a GPL v3 license.

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عنوان ژورنال:
  • Bioinformatics

دوره 31 14  شماره 

صفحات  -

تاریخ انتشار 2015