The RIKEN integrated database of mammals
| Autor: | Shigeharu Wakana, Yuichi Obata, Kaoru Fukami-Kobayashi, Satoshi Takahashi, Koji Doi, Yoshiki Mochizuki, Kouji Kozaki, Tetsuro Toyoda, Yuko Makita, Manabu Ishii, Nobuhiko Tanaka, Terue Takatsuki, Teiichi Furuichi, Atsushi Hijikata, Atsushi Yoshiki, Koro Nishikata, Yukio Nakamura, Yuko Yoshida, Hiroshi Masuya, Yoshihide Hayashizaki, Takehide Murata, Hideya Kawaji, Riichiro Mizoguchi, Kazunori Waki, Subburaman Mohan, Norio Kobayashi, Osamu Ohara, Akihiro Matsushima |
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| Rok vydání: | 2010 |
| Předmět: |
Mammals
Internet Databases Factual business.industry Data management Articles Biology Database design Systems Integration Metadata Open Biomedical Ontologies World Wide Web Mice User-Computer Interface Databases Genetic Genetics Animals Humans Ensembl business Semantic Web Database catalog Data administration |
| Zdroj: | Nucleic Acids Research |
| ISSN: | 1362-4962 0305-1048 |
| DOI: | 10.1093/nar/gkq1078 |
| Popis: | The RIKEN integrated database of mammals (http://scinets.org/db/mammal) is the official undertaking to integrate its mammalian databases produced from multiple large-scale programs that have been promoted by the institute. The database integrates not only RIKEN's original databases, such as FANTOM, the ENU mutagenesis program, the RIKEN Cerebellar Development Transcriptome Database and the Bioresource Database, but also imported data from public databases, such as Ensembl, MGI and biomedical ontologies. Our integrated database has been implemented on the infrastructure of publication medium for databases, termed SciNetS/SciNeS, or the Scientists' Networking System, where the data and metadata are structured as a semantic web and are downloadable in various standardized formats. The top-level ontology-based implementation of mammal-related data directly integrates the representative knowledge and individual data records in existing databases to ensure advanced cross-database searches and reduced unevenness of the data management operations. Through the development of this database, we propose a novel methodology for the development of standardized comprehensive management of heterogeneous data sets in multiple databases to improve the sustainability, accessibility, utility and publicity of the data of biomedical information. |
| Databáze: | OpenAIRE |
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