Literature DB >> 25388145

GlycoRDF: an ontology to standardize glycomics data in RDF.

Rene Ranzinger1, Kiyoko F Aoki-Kinoshita2, Matthew P Campbell1, Shin Kawano1, Thomas Lütteke1, Shujiro Okuda1, Daisuke Shinmachi1, Toshihide Shikanai1, Hiromichi Sawaki1, Philip Toukach1, Masaaki Matsubara1, Issaku Yamada1, Hisashi Narimatsu1.   

Abstract

MOTIVATION: Over the last decades several glycomics-based bioinformatics resources and databases have been created and released to the public. Unfortunately, there is no common standard in the representation of the stored information or a common machine-readable interface allowing bioinformatics groups to easily extract and cross-reference the stored information.
RESULTS: An international group of bioinformatics experts in the field of glycomics have worked together to create a standard Resource Description Framework (RDF) representation for glycomics data, focused on glycan sequences and related biological source, publications and experimental data. This RDF standard is defined by the GlycoRDF ontology and will be used by database providers to generate common machine-readable exports of the data stored in their databases.
AVAILABILITY AND IMPLEMENTATION: The ontology, supporting documentation and source code used by database providers to generate standardized RDF are available online (http://www.glycoinfo.org/GlycoRDF/).
© The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

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Year:  2014        PMID: 25388145      PMCID: PMC4380026          DOI: 10.1093/bioinformatics/btu732

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


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