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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
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Title
A Practical Guide to Using Glycomics Databases
Published by
Springer Japan, January 2017
DOI 10.1007/978-4-431-56454-6
ISBNs
978-4-43-156452-2, 978-4-43-156454-6
Editors

Kiyoko F. Aoki-Kinoshita

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X Demographics

The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Unknown 43 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 23%
Student > Doctoral Student 6 14%
Researcher 6 14%
Student > Master 5 11%
Professor > Associate Professor 2 5%
Other 3 7%
Unknown 12 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 32%
Biochemistry, Genetics and Molecular Biology 6 14%
Social Sciences 2 5%
Engineering 2 5%
Computer Science 2 5%
Other 8 18%
Unknown 10 23%