Comparative performances of existing well-known glycosylation prediction tools and GlycoPP models on independent dataset of prokaryotic glycoproteins.
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资源简介：
Footnotes: 1: http://www.cbs.dtu.dk/services/NetNGlyc/, 2: http://www.cbs.dtu.dk/services/NetOGlyc-3.0/, 3: http://turing.cs.iastate.edu/EnsembleGly/, BPP- Binary profile of patterns, CPP- Composition profile of patterns, PPP- PSSM profile of patterns, MCC- Matthews correlation coefficient, AUC- Area under curve, SS-secondary structure and ASA- Accessible surface area.
创建时间：
2015-12-02
