Universität zu Köln

Boehm, Michael, Bohne-Lang, Andreas, Frank, Martin ORCID: 0000-0002-1006-6746, Loss, Alexander, Rojas-Macias, Miguel A. and Luetteke, Thomas (2019). Glycosciences.DB: an annotated data collection linking glycomics and proteomics data (2018 update). Nucleic Acids Res., 47 (D1). S. D1195 - 7. OXFORD: OXFORD UNIV PRESS. ISSN 1362-4962

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Abstract

Glycosciences.DB, the glycan structure database of the Glycosciences.de portal, collects various kinds of data on glycan structures, including carbohydrate moieties from worldwide Protein Data Bank (wwPDB) structures. This way it forms a bridge between glycomics and proteomics resources. A major update of this database combines a redesigned web interface with a series of new functions. These include separate entry pages not only for glycan structures but also for literature references and wwPDB entries, improved substructure search options, a newly available keyword search covering all types of entries in one query, and new types of information that is added to glycan structures. These new features are described in detail in this article, and options how users can provide information to the database are discussed as well. Glycosciences.DB is available at http://www.glycosciences.de/database/ and can be freely accessed.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Boehm, Michael UNSPECIFIED UNSPECIFIED UNSPECIFIED Bohne-Lang, Andreas UNSPECIFIED UNSPECIFIED UNSPECIFIED Frank, Martin UNSPECIFIED orcid.org/0000-0002-1006-6746 UNSPECIFIED Loss, Alexander UNSPECIFIED UNSPECIFIED UNSPECIFIED Rojas-Macias, Miguel A. UNSPECIFIED UNSPECIFIED UNSPECIFIED Luetteke, Thomas UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-159406
DOI:	10.1093/nar/gky994
Journal or Publication Title:	Nucleic Acids Res.
Volume:	47
Number:	D1
Page Range:	S. D1195 - 7
Date:	2019
Publisher:	OXFORD UNIV PRESS
Place of Publication:	OXFORD
ISSN:	1362-4962
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language PROTEIN DATA-BANK; PDB; PROGRAM; DISEASE; SWEET Multiple languages Biochemistry & Molecular Biology Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/15940