Difference between revisions of "WoLFPSort"
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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_{{ | + | * HPC_{{uc:{{#var:app}}}}_DIR - installation directory |
| − | * HPC_{{ | + | * HPC_{{uc:{{#var:app}}}}_BIN - executable directory |
<!--Configuration--> | <!--Configuration--> | ||
Latest revision as of 21:29, 6 December 2019
Description
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.