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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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Sequence Name: [optional]     E-mail Address: [optional]       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:    -1.0 -0.9 -0.8 -0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0