clonalframeml - 1.13-1+b1 main

ClonalFrameML is a software package that performs efficient inference of
recombination in bacterial genomes. ClonalFrameML was created by Xavier
Didelot and Daniel Wilson. ClonalFrameML can be applied to any type of
aligned sequence data, but is especially aimed at analysis of whole
genome sequences. It is able to compare hundreds of whole genomes in a
matter of hours on a standard Desktop computer. There are three main
outputs from a run of ClonalFrameML: a phylogeny with branch lengths
corrected to account for recombination, an estimation of the key
parameters of the recombination process, and a genomic map of where
recombination took place for each branch of the phylogeny.
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ClonalFrameML is a maximum likelihood implementation of the Bayesian
software ClonalFrame which was previously described by Didelot and
Falush (2007). The recombination model underpinning ClonalFrameML is
exactly the same as for ClonalFrame, but this new implementation is a
lot faster, is able to deal with much larger genomic dataset, and does
not suffer from MCMC convergence issues