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OSDDlinux for Standalone, Galaxy & Local version
******* If you are using this server, please cite -> Chauhan JS, Rao A, Raghava GPS (2013) In silico Platform for Prediction of N-, O- and C-Glycosites in Eukaryotic Protein Sequences. PLoS ONE 8(6): e67008. ********

Advanced Predictor: The advanced predictor method is developed using fixed length unique glycosite patterns which, have less than
60% similarity (i.e. pattern/site redundancy reduction). The training datasets contains 2454 N-linked , 235 O-linked
and 27 C-linked glycosites. The datasets obtained from Swiss-Prot release June 2011.

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Type/paste protein sequence in FASTA format:       


                          Prediction of N-linked Glycosylation
                            Prediction based on Binary profile of patterns (BPP)
                            Prediction based on Average Surface Accessibility (ASA+BPP)
                          Prediction of O-linked Glycosylation
                            Prediction based on Composition profile of patterns (CPP)
                            Prediction based on Average Surface Accessibility (ASA+CPP)
                          Prediction of C-linked Glycosylation
                            Prediction based on Binary profile of patterns (BPP)
                            Prediction based on Average Surface Accessibility (ASA+BPP)




            SVM threshold: