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Titlebook: Glycoinformatics; Thomas Lütteke,Martin Frank Book 2015 Springer Science+Business Media New York 2015 Branched structures.Carbohydrate str

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GlycomeDBd the world. This led to the fragmentation of information about carbohydrate structures into different resources that have no or only weak interaction with each other. GlycomeDB was developed to integrate the carbohydrate structures from different resources by generating a single-indexed catalog of
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Glycan Array Data Management at Consortium for Functional Glycomicsal functions via their specific interactions with a variety of proteins. Recognizing the importance of glycomics, large-scale research initiatives such as the Consortium for Functional Glycomics (CFG) were established to address these challenges. Over the past decade, the Consortium for Functional G
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Analyzing Glycan-Binding Patterns with the ProfilePSTMM Toollements the probabilistic model previously described by Aoki-Kinoshita et al. (Bioinformatics 22:e25–e34, 2006). This tool computes the glycan patterns that are found within a given set of glycan structures. Thus, one application of this tool is the extraction of monosaccharide patterns (profile) of
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