From 399c06897e62b4bfe41406d7ad057a6059970651 Mon Sep 17 00:00:00 2001 From: Petar Petrov Date: Thu, 28 Jun 2012 16:30:58 -0400 Subject: academic/PhyML: Updated for version 20120412. Signed-off-by: dsomero --- academic/PhyML/README | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) (limited to 'academic/PhyML/README') diff --git a/academic/PhyML/README b/academic/PhyML/README index 87e9b170db..b52080e622 100644 --- a/academic/PhyML/README +++ b/academic/PhyML/README @@ -1,16 +1,16 @@ -PhyML is a software that estimates maximum likelihood phylogenies -from alignments of nucleotide or amino acid sequences. It provides a -wide range of options that were designed to facilitate standard -phylogenetic analyses. The main strengths of PhyML lies in the large -number of substitution models coupled to various options to search -the space of phylogenetic tree topologies, going from very fast and -efficient methods to slower but generally more accurate approaches. -It also implements two methods to evaluate branch supports in a sound -statistical framework (the non-parametric bootstrap and the +PhyML is a software that estimates maximum likelihood phylogenies +from alignments of nucleotide or amino acid sequences. It provides a +wide range of options that were designed to facilitate standard +phylogenetic analyses. The main strengths of PhyML lies in the large +number of substitution models coupled to various options to search +the space of phylogenetic tree topologies, going from very fast and +efficient methods to slower but generally more accurate approaches. +It also implements two methods to evaluate branch supports in a sound +statistical framework (the non-parametric bootstrap and the approximate likelihood ratio test). For details and citation -New Algorithms and Methods to Estimate Maximum-Likelihood -Phylogenies: Assessing the Performance of PhyML 3.0. Guindon S., -Dufayard J.F., Lefort V., Anisimova M., Hordijk W., Gascuel O. +New Algorithms and Methods to Estimate Maximum-Likelihood +Phylogenies: Assessing the Performance of PhyML 3.0. Guindon S., +Dufayard J.F., Lefort V., Anisimova M., Hordijk W., Gascuel O. Systematic Biology, 59(3):307-21, 2010. -- cgit v1.2.3