Look! I publish more than just blog posts!
WoLF PSORT: protein localization predictor
http://nar.oxfordjournals.org/cgi/reprint/gkm259v1?ijkey=7rAn6VnzAJbPKAO&keytype=ref
(please ignore the extra symbols in the following. I just copied and pasted from a different page to give a basic synopsis)
WoLF PSORT: protein localization predictor
Paul Horton, Keun-Joon Park, Takeshi Obayashi, Naoya Fujita, Hajime Harada1, C.J. Adams-Collier and Kenta Nakai,
Computational Biology Research Center, AIST, Tokyo, Japan, 2Center for Genome Science, National Institute of Health, Korea Center for Disease Control & Prevention, 5 Nokbeon-Dong, Eunpyung-Gu, Seoul 122-701 Korea, 3Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan and 4Collier Technologies, Everett, WA, USA
*To whom correspondence should be addressed. Tel: + 81-3-5449-5131; Fax: + 81-3-5449-5133; Email: knakai@ims.u-tokyo.ac.jp
Received January 30, 2007. Revised March 26, 2007. Accepted April 8, 2007.
WoLF PSORT is an extension of the PSORT II program for protein subcellular location prediction. WoLF PSORT converts protein amino acid sequences into numerical localization features; based on sorting signals, amino acid composition and functional motifs such as DNA-binding motifs. After conversion, a simple k-nearest neighbor classifier is used for prediction. Using html, the evidence for each prediction is shown in two ways: (i) a list of proteins of known localization with the most similar localization features to the query, and (ii) tables with detailed information about individual localization features. For convenience, sequence alignments of the query to similar proteins and links to UniProt and Gene Ontology are provided. Taken together, this information allows a user to understand the evidence (or lack thereof) behind the predictions made for particular proteins. WoLF PSORT is available at wolfpsort.org
http://nar.oxfordjournals.org/cgi/reprint/gkm259v1?ijkey=7rAn6VnzAJbPKAO&keytype=ref
(please ignore the extra symbols in the following. I just copied and pasted from a different page to give a basic synopsis)
WoLF PSORT: protein localization predictor
Paul Horton, Keun-Joon Park, Takeshi Obayashi, Naoya Fujita, Hajime Harada1, C.J. Adams-Collier and Kenta Nakai,
Computational Biology Research Center, AIST, Tokyo, Japan, 2Center for Genome Science, National Institute of Health, Korea Center for Disease Control & Prevention, 5 Nokbeon-Dong, Eunpyung-Gu, Seoul 122-701 Korea, 3Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan and 4Collier Technologies, Everett, WA, USA
*To whom correspondence should be addressed. Tel: + 81-3-5449-5131; Fax: + 81-3-5449-5133; Email: knakai@ims.u-tokyo.ac.jp
Received January 30, 2007. Revised March 26, 2007. Accepted April 8, 2007.
WoLF PSORT is an extension of the PSORT II program for protein subcellular location prediction. WoLF PSORT converts protein amino acid sequences into numerical localization features; based on sorting signals, amino acid composition and functional motifs such as DNA-binding motifs. After conversion, a simple k-nearest neighbor classifier is used for prediction. Using html, the evidence for each prediction is shown in two ways: (i) a list of proteins of known localization with the most similar localization features to the query, and (ii) tables with detailed information about individual localization features. For convenience, sequence alignments of the query to similar proteins and links to UniProt and Gene Ontology are provided. Taken together, this information allows a user to understand the evidence (or lack thereof) behind the predictions made for particular proteins. WoLF PSORT is available at wolfpsort.org