Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

A Practical Guide to Using Glycomics DatabasesDevelopment of Carbohydrate Nomenclature and Representation

A Practical Guide to Using Glycomics Databases: Development of Carbohydrate Nomenclature and... [This chapter offers a general background for researchers embarking in glycoscience to grasp the evolution and present status of the nomenclature(s) and representation(s) of glycans and complex carbohydrates. The availability of high-performance computing and the application of data mining are opening new paths to discovery. The field of structural glycobiology has benefited from such advances with the development of tools and databases for the structural and functional analysis of carbohydrates. There is a need to conform to the recommendations of nomenclatures of carbohydrates while the constraints are required by the developing field of glycobiology in terms of visualization and encoding. The present chapter describes the nomenclatures, symbols, and presentations that form part of the “language” used to communicate more effectively and used in different databases. Besides, some issues 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.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Practical Guide to Using Glycomics DatabasesDevelopment of Carbohydrate Nomenclature and Representation

Editors: Aoki-Kinoshita, Kiyoko F.

Loading next page...
 
/lp/springer-journals/a-practical-guide-to-using-glycomics-databases-development-of-sTPUGU5LqH

References (40)

Publisher
Springer Japan
Copyright
© Springer Japan 2017
ISBN
978-4-431-56452-2
Pages
7 –25
DOI
10.1007/978-4-431-56454-6_2
Publisher site
See Chapter on Publisher Site

Abstract

[This chapter offers a general background for researchers embarking in glycoscience to grasp the evolution and present status of the nomenclature(s) and representation(s) of glycans and complex carbohydrates. The availability of high-performance computing and the application of data mining are opening new paths to discovery. The field of structural glycobiology has benefited from such advances with the development of tools and databases for the structural and functional analysis of carbohydrates. There is a need to conform to the recommendations of nomenclatures of carbohydrates while the constraints are required by the developing field of glycobiology in terms of visualization and encoding. The present chapter describes the nomenclatures, symbols, and presentations that form part of the “language” used to communicate more effectively and used in different databases. Besides, some issues 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.]

Published: Dec 7, 2016

Keywords: Glycans; Nomenclature; Graphical representations; Three dimensions; Encoding; Databases

There are no references for this article.