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Titlebook: A Practical Guide to Using Glycomics Databases; Kiyoko F. Aoki-Kinoshita Book 2017 Springer Japan 2017 Databases.Glycoscience.Glycobiology

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PAConto: RDF Representation of PACDB Data and Ontology of Infectious Diseases Known to Be Related to978-3-662-25697-8
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Using BCI in IoT Implementation,related to the interoperability of glycan databases throughout glycan databases are also addressed. The semantic web approach promotes further the description and integration of structural and experimental metadata throughout the development of ontologies for domain knowledge representation.
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On Parameter Estimation of Ecosystem Modelsal resources. In addition to the ontology, we have developed a system with a user interface, using which the users can retrieve and search information from PAConto. The RDF files for PAConto with RDF/SPARQL-based user interface, documentation, and user’s guide are available at .. In this chapter, we
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Book 2017publicly available, one of the hurdles for their users is the learning curve required to effectively utilize those databases. Therefore, this book not only describes the existing databases, but also provides tips on how to obtain the target data. That is, because many databases provide a variety of
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Construction of Statistically Similar RVEs,anslation table manually. MonosaccharideDB offers various means to perform translation of carbohydrate residue names. This chapter illustrates the usage of the MonosaccharideDB web interface for both manual and automated conversion and validation of glycan residues.
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