Difference between revisions of "WoLFPSort"

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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
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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
  
 
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Revision as of 17:00, 14 August 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_{{#uppercase:wolfpsort}}_DIR - installation 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.