WoLFPSort: Difference between revisions

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Created page with "Category:SoftwareCategory:Phylogenetics {|<!--CONFIGURATION: REQUIRED--> |{{#vardefine:app|wolfpsort}} |{{#vardefine:url|https://github.com/fmaguire/WoLFPSort}} <!--CO..."
 
m Text replacement - "#uppercase" to "uc"
 
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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}}}}|}}


WoLF PSORT is an extension of the PSORT II program for protein subcellular localization prediction, which is based on the PSORT principle. WoLF PSORT converts a protein's amino acid sequences into numerical localization features; based on sorting signals, amino acid composition and functional motifs. After conversion, a simple k-nearest neighbor classifier is used for prediction
WoLF PSORT is an extension of the PSORT II program for protein subcellular localization prediction, which is based on the PSORT principle. WoLF PSORT converts a protein's amino acid sequences into numerical localization features; based on sorting signals, amino acid composition and functional motifs. After conversion, a simple k-nearest neighbor classifier is used for prediction


<!--Modules-->
<!--Modules-->
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Run <code>module spider {{#var:app}}</code> to find out what environment modules are available for this application.
Run <code>module spider {{#var:app}}</code> to find out what environment modules are available for this application.
==System Variables==
==System Variables==
* HPC_{{#uppercase:{{#var:app}}}}_DIR - installation directory
* HPC_{{uc:{{#var:app}}}}_DIR - installation directory
* HPC_{{uc:{{#var:app}}}}_BIN - executable directory
 
<!--Configuration-->
<!--Configuration-->
{{#if: {{#var: conf}}|==Configuration==
{{#if: {{#var: conf}}|==Configuration==

Latest revision as of 21:29, 6 December 2019

Description

wolfpsort website  

WoLF PSORT is an extension of the PSORT II program for protein subcellular localization prediction, which is based on the PSORT principle. WoLF PSORT converts a protein's amino acid sequences into numerical localization features; based on sorting signals, amino acid composition and functional motifs. After conversion, a simple k-nearest neighbor classifier is used for prediction

Environment Modules

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

System Variables

  • HPC_WOLFPSORT_DIR - installation directory
  • HPC_WOLFPSORT_BIN - executable directory




Citation

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

"Protein Subcellular Localization Prediction with WoLF PSORT", Paul Horton, Keun-Joon Park, Takeshi Obayashi, and Kenta Nakai, Asian Pacific Bioinformatics Conference, APCB2006.