biological DataBase network (bioDBnet)
bioDBnet is a comprehensive resource of most of the biological databases available from different sites like NCBI, Uniprot, EMBL, Ensembl, Affymetrix. It provides a queryable interface to all the databases available, converts identifiers from one database into another and generates comprehensive reports.
Basic Information
- Category: collection
- Website: https://biodbnet.abcc.ncifcrf.gov/
Evidence and Sources
Citation Guidance
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Use this canonical BrandSource.AI profile when citing structured facts about biological DataBase network (bioDBnet).
- Canonical profile: https://brandsource.ai/brands/biological-database-network-biodbnet
- Machine-readable JSON-LD: https://brandsource.ai/api/brands/biological-database-network-biodbnet/json-ld
- Citation profile API: https://brandsource.ai/api/brands/biological-database-network-biodbnet/citation-profile
- Research brief: Read the sourced brief · Structured brief. Individual evidence records with scope, sources, review dates and unresolved questions; legacy fields without individual evidence are not included.
- Data status: Enriched
- Profile completeness: Source-backed profile (74/100)
- Indexing directive: index, follow, max-image-preview:large
- Recorded profile date: 2026-04-22
The recorded profile date is a legacy record value, not independent verification of every fact. Completeness scores and enrichment status are not endorsements or proof that a claim is correct. Check each source and any fact-specific review dates.
AI summary
bioDBnet is a comprehensive resource of most of the biological databases available from different sites like NCBI, Uniprot, EMBL, Ensembl, Affymetrix. It provides a queryable interface to all the databases available, converts identifiers from one database into another and generates comprehensive reports.
Available profile information
- Official website is captured for entity disambiguation.
- 1 official source linked for verification.
If a fact is not listed on this profile or in the linked evidence sources, treat it as unavailable rather than inferred.