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A Practical Guide to Using Glycomics Databases

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Cover of 'A Practical Guide to Using Glycomics Databases'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Development of Carbohydrate Nomenclature and Representation
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    Chapter 3 Translation and Validation of Carbohydrate Residue Names with MonosaccharideDB Routines
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    Chapter 4 Using GlyTouCan Version 1.0: The First International Glycan Structure Repository
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    Chapter 5 Carbohydrate Structure Database (CSDB): Examples of Usage
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    Chapter 6 The CAZy Database/the Carbohydrate-Active Enzyme (CAZy) Database: Principles and Usage Guidelines
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    Chapter 7 Glyco3D: A Suite of Interlinked Databases of 3D Structures of Complex Carbohydrates, Lectins, Antibodies, and Glycosyltransferases
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    Chapter 8 GlycoGene Database (GGDB) on the Semantic Web
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    Chapter 9 KEGG GLYCAN
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    Chapter 10 Exploring the UniCarbKB Database
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    Chapter 11 GlycoProtDB: A Database of Glycoproteins Mapped with Actual Glycosylation Sites Identified by Mass Spectrometry
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    Chapter 12 GlycoEpitope
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    Chapter 13 SugarBindDB
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    Chapter 14 PAConto: RDF Representation of PACDB Data and Ontology of Infectious Diseases Known to Be Related to Glycan Binding
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    Chapter 15 RINGS: A Web Resource of Tools for Analyzing Glycomics Data
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    Chapter 16 Glycan Data Retrieval and Analysis Using GLYCOSCIENCES.de Applications
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    Chapter 17 Glycobiology Meets the Semantic Web
Attention for Chapter 12: GlycoEpitope
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Chapter title
GlycoEpitope
Chapter number 12
Book title
A Practical Guide to Using Glycomics Databases
Published by
Springer Japan, December 2016
DOI 10.1007/978-4-431-56454-6_12
Book ISBNs
978-4-43-156452-2, 978-4-43-156454-6
Authors

Shujiro Okuda, Hiromi Nakao, Toshisuke Kawasaki

Editors

Kiyoko F. Aoki-Kinoshita

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 100%
Student > Master 1 100%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 100%
Engineering 1 100%

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