RIKEN integrated database of mammals
RIKEN Integrated Database of Mammals consolidates heterogeneous mammalian datasets from RIKEN programs and public repositories into a unified semantic framework. It integrates data from FANTOM, the ENU mutagenesis program, the RIKEN Cerebellar Development Transcriptome Database, the Bioresource Database, Ensembl, MGI, and biomedical ontologies.
Key Features:
- Semantic Web Infrastructure: Implements SciNetS/SciNeS to organize data and metadata using semantic web technologies for cross-database interoperability.
- Ontology-Based Harmonization: Applies a top-level ontology framework to standardize mammalian data records and reduce inconsistencies across integrated sources.
- Cross-Database Query Capability: Enables integrated searches across diverse mammalian genomics, transcriptomics, mutagenesis, and bioresource datasets.
- Standardized Data Formats: Provides access to integrated data in multiple standardized formats for downstream computational analyses.
Scientific Applications:
- Integrated Mammalian Genomics and Functional Analysis: Supports comprehensive cross-resource analysis of mammalian genetic, transcriptomic, and mutagenesis data.
Methodology:
The database integrates heterogeneous datasets within the SciNetS/SciNeS semantic web infrastructure, mapping records to a top-level ontology to harmonize data structures and enable interoperable, ontology-driven querying across multiple mammalian data resources.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 3/30/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Masuya H, Makita Y, Kobayashi N, Nishikata K, Yoshida Y, Mochizuki Y, Doi K, Takatsuki T, Waki K, Tanaka N, Ishii M, Matsushima A, Takahashi S, Hijikata A, Kozaki K, Furuichi T, Kawaji H, Wakana S, Nakamura Y, Yoshiki A, Murata T, Fukami-Kobayashi K, Mohan S, Ohara O, Hayashizaki Y, Mizoguchi R, Obata Y, Toyoda T. The RIKEN integrated database of mammals. Nucleic Acids Research. 2010;39(Database):D861-D870. doi:10.1093/nar/gkq1078. PMID:21076152. PMCID:PMC3013680.