BioProject
BioProject organizes and links project-level metadata for biological research to facilitate discovery and interoperability across NCBI, EBI, and DDBJ archival repositories.
Key Features:
- Centralized Metadata Repository: Captures descriptive information about research projects that generate submissions to NCBI, EBI, and DDBJ, enabling aggregation of diverse data types within single initiatives or consortia.
- Integration with Archival Databases: Interconnects BioProject records with corresponding data stored in NCBI, EBI, and DDBJ archival repositories to support cross-database discovery and linking of related datasets.
- BioSample Database Complementarity: Associates project-level records with the BioSample database to capture sample-specific descriptive information and ensure metadata coverage at both project and sample levels.
- Enhanced Data Querying and Integration: Organizes and classifies project metadata to improve querying, locating, integration, and interpretation of datasets across NCBI, EBI, and DDBJ archival repositories.
Scientific Applications:
- Multi-omics integration: Facilitates integration of genomics, proteomics, metabolomics, and other omics datasets by linking project-level metadata with archival data across repositories.
- Data discovery and reuse: Enables discovery, aggregation, and reuse of datasets across NCBI, EBI, and DDBJ for secondary analyses and comparative studies.
- Contextualized sample analysis: Supports studies requiring detailed biological context by connecting project-level information with sample-specific metadata in BioSample.
- Consortium and large-scale project aggregation: Aggregates metadata from multi-institution initiatives to provide unified views of datasets generated by consortia.
Methodology:
Metadata are systematically collected, consistently formatted to promote interoperability, and linked to corresponding archival records across NCBI, EBI, and DDBJ.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- SQL
- Added:
- 3/30/2017
- Last Updated:
- 4/15/2021
Operations
Publications
Barrett T, et al. BioProject and BioSample databases at NCBI: facilitating capture and organization of metadata. Nucleic Acids Res. 2012; 40:D57-63. doi: 10.1093/nar/gkr1163
PMID: 22139929