Difference between revisions of "Gubbins"

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[[Category:Software]][[Category:Bioinformatics]][[Category:Phylogenetics]][[Category:Genomics]]
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[[Category:Software]][[Category:Phylogenetics]]
 
{|<!--CONFIGURATION: REQUIRED-->
 
{|<!--CONFIGURATION: REQUIRED-->
 
|{{#vardefine:app|gubbins}}
 
|{{#vardefine:app|gubbins}}
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<!--Modules-->
 
<!--Modules-->
==Required Modules==
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==Environment Modules==
===Serial===
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Run <code>module spider {{#var:app}}</code> to find out what environment modules are available for this application.
* {{#var:app}}
 
<!--
 
===Parallel (OpenMP)===
 
* intel
 
* {{#var:app}}
 
===Parallel (MPI)===
 
* intel
 
* openmpi
 
* {{#var:app}}
 
-->
 
 
==System Variables==
 
==System Variables==
* HPC_{{#uppercase:{{#var:app}}}}_DIR - installation directory
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* HPC_{{uc:{{#var:app}}}}_DIR - installation directory
 
<!--Configuration-->
 
<!--Configuration-->
 
{{#if: {{#var: conf}}|==Configuration==
 
{{#if: {{#var: conf}}|==Configuration==

Latest revision as of 17:28, 15 August 2022

Description

gubbins website  

Gubbins (Genealogies Unbiased By recomBinations In Nucleotide Sequences) is an algorithm that iteratively identifies loci containing elevated densities of base substitutions while concurrently constructing a phylogeny based on the putative point mutations outside of these regions. Simulations demonstrate the algorithm generates highly accurate reconstructions under realistic models of short-term bacterial evolution, and can be run in only a few hours on alignments of hundreds of bacterial genome sequences.

Environment Modules

Run module spider gubbins to find out what environment modules are available for this application.

System Variables

  • HPC_GUBBINS_DIR - installation directory




Citation

If you publish research that uses gubbins you have to cite it as follows:

Croucher N. J., Page A. J., Connor T. R., Delaney A. J., Keane J. A., Bentley S. D., Parkhill J., Harris S.R. "Rapid phylogenetic analysis of large samples of recombinant bacterial whole genome sequences using Gubbins". doi:10.1093/nar/gku1196, Nucleic Acids Research, 2014.