Accurate estimation of gene evolutionary rates using XRATE, with an application to transmembrane proteins.
XRATE implements algorithms for comparative annotation, ancestral reconstruction, evolutionary rate estimation, and simulation. Its modeling repertoire includes phylogenetic stochastic context-free grammars and phylo-hidden Markov models. Following earlier tests of XRATE as a machine-learning tool s...
Main Authors: | , , |
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Format: | Journal article |
Language: | English |
Published: |
2009
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