TogoGenome/TogoStanza: modularized Semantic Web genome database.


Journal

Database : the journal of biological databases and curation
ISSN: 1758-0463
Titre abrégé: Database (Oxford)
Pays: England
ID NLM: 101517697

Informations de publication

Date de publication:
01 01 2019
Historique:
received: 08 07 2018
accepted: 26 11 2018
entrez: 10 1 2019
pubmed: 10 1 2019
medline: 5 6 2019
Statut: epublish

Résumé

TogoGenome is a genome database that is purely based on the Semantic Web technology, which enables the integration of heterogeneous data and flexible semantic searches. All the information is stored as Resource Description Framework (RDF) data, and the reporting web pages are generated on the fly using SPARQL Protocol and RDF Query Language (SPARQL) queries. TogoGenome provides a semantic-faceted search system by gene functional annotation, taxonomy, phenotypes and environment based on the relevant ontologies. TogoGenome also serves as an interface to conduct semantic comparative genomics by which a user can observe pan-organism or organism-specific genes based on the functional aspect of gene annotations and the combinations of organisms from different taxa. The TogoGenome database exhibits a modularized structure, and each module in the report pages is separately served as TogoStanza, which is a generic framework for rendering an information block as IFRAME/Web Components, which can, unlike several other monolithic databases, also be reused to construct other databases. TogoGenome and TogoStanza have been under development since 2012 and are freely available along with their source codes on the GitHub repositories at https://github.com/togogenome/ and https://github.com/togostanza/, respectively, under the MIT license.

Identifiants

pubmed: 30624651
pii: 5277251
doi: 10.1093/database/bay132
pmc: PMC6323299
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Toshiaki Katayama (T)

Database Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Wakashiba, Kashiwa-shi, Chiba, Japan.

Shuichi Kawashima (S)

Database Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Wakashiba, Kashiwa-shi, Chiba, Japan.

Shinobu Okamoto (S)

Database Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Wakashiba, Kashiwa-shi, Chiba, Japan.

Yuki Moriya (Y)

Database Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Wakashiba, Kashiwa-shi, Chiba, Japan.

Hirokazu Chiba (H)

Database Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Wakashiba, Kashiwa-shi, Chiba, Japan.

Yuki Naito (Y)

Database Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Wakashiba, Kashiwa-shi, Chiba, Japan.

Takatomo Fujisawa (T)

National Institute of Genetics, Mishima, Shizuoka, Japan.

Hiroshi Mori (H)

National Institute of Genetics, Mishima, Shizuoka, Japan.

Toshihisa Takagi (T)

National Institute of Genetics, Mishima, Shizuoka, Japan.
Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Yayoi, Bunkyo-ku, Tokyo, Japan.

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Classifications MeSH