Glycome Informatics: Methods and ApplicationsCRC Press, 2009/11/19 - 256 ページ A Focused, State-of-the-Art Overview of This Evolving FieldPresents Various Techniques for GlycoinformaticsThe development and use of informatics tools and databases for glycobiology and glycomics research have increased considerably in recent years. In addition to accumulating well-structured glyco-related data, researchers have now developed semi |
目次
1 Introduction to Glycobiology | 1 |
2 Background | 25 |
3 Databases | 61 |
4 Glycome Informatics | 107 |
5 Potential Research Projects | 193 |
A Sequence Analysis Methods | 199 |
B Machine Learning Methods | 207 |
C Glycomics Technologies | 221 |
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241 | |
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多く使われている語句
addition algorithm alignment amino acid analysis applied atoms binding biosynthesis branches cach called carbohydrate cells chemical classes Code common compared complex computed considered consists containing core structure corresponding data set database defined described developed displayed entry enzymes et al example Figure format fragments frequent function genes given GlcNAc glucose glycan structures glycome glycosidic glycosylation indicate input kernel known labels layer lectins Lewis linkage linked lipid listed mass match matrix methods molecules monosaccharide multiple N-glycan N-linked node Note options OTMM output parameters parent particular pathway patterns peaks performance position possible predicted probability problem proteins PSTMM query refer repeated represented residues root score selected sequence sibling similar specified substituent subtree sulfate Table tion tool transition tree types units values weight