The RIKEN integrated database of mammals

被引:12
|
作者
Masuya, Hiroshi [2 ]
Makita, Yuko [1 ]
Kobayashi, Norio [1 ]
Nishikata, Koro [1 ]
Yoshida, Yuko [1 ]
Mochizuki, Yoshiki [1 ]
Doi, Koji [1 ]
Takatsuki, Terue [2 ]
Waki, Kazunori [2 ]
Tanaka, Nobuhiko [2 ]
Ishii, Manabu [1 ]
Matsushima, Akihiro [1 ]
Takahashi, Satoshi [1 ]
Hijikata, Atsushi [3 ]
Kozaki, Kouji [4 ]
Furuichi, Teiichi [5 ]
Kawaji, Hideya [6 ]
Wakana, Shigeharu [2 ]
Nakamura, Yukio [2 ]
Yoshiki, Atsushi [2 ]
Murata, Takehide [2 ]
Fukami-Kobayashi, Kaoru [2 ]
Mohan, Sujatha [3 ]
Ohara, Osamu [3 ]
Hayashizaki, Yoshihide [6 ]
Mizoguchi, Riichiro [4 ]
Obata, Yuichi [2 ]
Toyoda, Tetsuro [1 ]
机构
[1] RIKEN, Bioinformat & Syst Engn BASE Div, Yokohama, Kanagawa, Japan
[2] RIKEN, BioResource Ctr BRC, Tsukuba, Ibaraki, Japan
[3] RIKEN, Res Ctr Allergy & Immunol RCAI, Yokohama, Kanagawa, Japan
[4] Osaka Univ, Inst Sci & Ind Res ISIR, Dept Knowledge Syst, Ibaraki, Japan
[5] RIKEN, Brain Sci Inst BSI, Lab Mol Neurogenesis, Wako, Saitama, Japan
[6] RIKEN, Om Sci Ctr OSC, Yokohama, Kanagawa, Japan
关键词
GENE NOMENCLATURE; MOUSE; ONTOLOGIES; RESOURCES; NETWORK; TRANSCRIPTOME; INFORMATION; EXPRESSION; SEARCH; TOOL;
D O I
10.1093/nar/gkq1078
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:D861 / D870
页数:10
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