Introduction

Recombination is an important evolutionary force in bacteria, but it remains challenging to reconstruct the imports that occurred in the ancestry of a genomic sample. Here we present ClonalFrameML, which uses maximum likelihood inference to simultaneously detect recombination in bacterial genomes and account for it in phylogenetic reconstruction. ClonalFrameML can analyse hundreds of genomes in a matter of hours, and we demonstrate its usefulness on simulated and real datasets. We find evidence for recombination hotspots associated with mobile elements in Clostridium difficile ST6 and a previously undescribed 310kb chromosomal replacement in Staphylococcus aureus ST582. ClonalFrameML is freely available at http://clonalframeml.googlecode.com/.

Publications

  1. ClonalFrameML: efficient inference of recombination in whole bacterial genomes.
    Cite this
    Didelot X, Wilson DJ, 2015-02-01 - PLoS Computational Biology

Credits

  1. Xavier Didelot
    Developer

    Department of Infectious Disease Epidemiology, Imperial College, United Kingdom of Great Britain and Northern Ireland

  2. Daniel J Wilson
    Investigator

    Nuffield Department of Medicine, University of Oxford, United Kingdom of Great Britain and Northern Ireland

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Summary
AccessionBT000062
Tool TypeApplication
Category
PlatformsLinux/Unix
TechnologiesC++
User InterfaceTerminal Command Line
Download Count0
Country/RegionUnited Kingdom of Great Britain and Northern Ireland
Submitted ByDaniel J Wilson