Fast-gep: Difference between revisions

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Created page with "Category:SoftwareCategory:Phylogenetics {|<!--CONFIGURATION: REQUIRED--> |{{#vardefine:app|fastgep}} |{{#vardefine:url|https://github.com/jizhang-nz/fast-GeP}} <!--CON..."
 
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[[Category:Software]][[Category:Phylogenetics]]
[[Category:Software]][[Category:Phylogenetics]]
{|<!--CONFIGURATION: REQUIRED-->
{|<!--CONFIGURATION: REQUIRED-->
|{{#vardefine:app|fastgep}}
|{{#vardefine:app|fast-gep}}
|{{#vardefine:url|https://github.com/jizhang-nz/fast-GeP}}
|{{#vardefine:url|https://github.com/jizhang-nz/fast-GeP}}
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{{App_Description|app={{#var:app}}|url={{#var:url}}|name={{#var:app}}}}|}}
{{App_Description|app={{#var:app}}|url={{#var:url}}|name={{#var:app}}}}|}}


Large-scale WGS dataset based studies are becoming increasingly common. WGS based pathogen surveillance and outbreak investigations create a demand for highly discriminative and time-efficient bioinformatics tools to transform large amounts of sequencing data into usable biological information such as relationship of the isolates.
Fast and easy way to infer high-resolution genealogical relationship of bacterial isolates with WGS assembly data.


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* HPC_{{uc:{{#var:app}}}}_DIR - installation directory
* HPC_{{uc:{{#var:app}}}}_DIR - installation directory
* HPC_{{uc:{{#var:app}}}}_BIN - executable directory
* HPC_{{uc:{{#var:app}}}}_BIN - executable directory
* HPC_{{uc:{{#var:app}}}}_EXE - example directory


<!--Configuration-->
<!--Configuration-->

Latest revision as of 15:46, 22 July 2022

Description

fast-gep website  

Fast and easy way to infer high-resolution genealogical relationship of bacterial isolates with WGS assembly data.

Environment Modules

Run module spider fast-gep to find out what environment modules are available for this application.

System Variables

  • HPC_FAST-GEP_DIR - installation directory
  • HPC_FAST-GEP_BIN - executable directory
  • HPC_FAST-GEP_EXE - example directory




Citation

If you publish research that uses fast-gep you have to cite it as follows:

Genome-by-genome approach for fast bacterial genealogical relationship evaluation