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
module spider wolfpsort to find out what environment modules are available for this application.
- HPC_WOLFPSORT_DIR - installation directory
- HPC_WOLFPSORT_BIN - executable directory
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.