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TogoGenome/TogoStanza: modularized Semantic Web genome database

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 us...

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Autores principales: Katayama, Toshiaki, Kawashima, Shuichi, Okamoto, Shinobu, Moriya, Yuki, Chiba, Hirokazu, Naito, Yuki, Fujisawa, Takatomo, Mori, Hiroshi, Takagi, Toshihisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323299/
https://www.ncbi.nlm.nih.gov/pubmed/30624651
http://dx.doi.org/10.1093/database/bay132
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author Katayama, Toshiaki
Kawashima, Shuichi
Okamoto, Shinobu
Moriya, Yuki
Chiba, Hirokazu
Naito, Yuki
Fujisawa, Takatomo
Mori, Hiroshi
Takagi, Toshihisa
author_facet Katayama, Toshiaki
Kawashima, Shuichi
Okamoto, Shinobu
Moriya, Yuki
Chiba, Hirokazu
Naito, Yuki
Fujisawa, Takatomo
Mori, Hiroshi
Takagi, Toshihisa
author_sort Katayama, Toshiaki
collection PubMed
description 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.
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spelling pubmed-63232992019-01-10 TogoGenome/TogoStanza: modularized Semantic Web genome database Katayama, Toshiaki Kawashima, Shuichi Okamoto, Shinobu Moriya, Yuki Chiba, Hirokazu Naito, Yuki Fujisawa, Takatomo Mori, Hiroshi Takagi, Toshihisa Database (Oxford) Original Article 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. Oxford University Press 2019-01-08 /pmc/articles/PMC6323299/ /pubmed/30624651 http://dx.doi.org/10.1093/database/bay132 Text en © The Author(s) 2019. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Katayama, Toshiaki
Kawashima, Shuichi
Okamoto, Shinobu
Moriya, Yuki
Chiba, Hirokazu
Naito, Yuki
Fujisawa, Takatomo
Mori, Hiroshi
Takagi, Toshihisa
TogoGenome/TogoStanza: modularized Semantic Web genome database
title TogoGenome/TogoStanza: modularized Semantic Web genome database
title_full TogoGenome/TogoStanza: modularized Semantic Web genome database
title_fullStr TogoGenome/TogoStanza: modularized Semantic Web genome database
title_full_unstemmed TogoGenome/TogoStanza: modularized Semantic Web genome database
title_short TogoGenome/TogoStanza: modularized Semantic Web genome database
title_sort togogenome/togostanza: modularized semantic web genome database
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323299/
https://www.ncbi.nlm.nih.gov/pubmed/30624651
http://dx.doi.org/10.1093/database/bay132
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