This article includes a list of general references, but it lacks sufficient corresponding inline citations. (July 2023) |
BioNumbers is a free-access database of quantitative data in biology designed to provide the scientific community with access to the large amount of data now generated in the biological literature. The database aims to make quantitative values more easily available, to aid fields such as systems biology.
Content | |
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Description | Database of quantitative data in molecular and cell biology |
Contact | |
Laboratory | Milo lab |
Primary citation | PMID 19854939 |
Release date | 2007 |
Access | |
Website | bionumbers |
The BioNumbers project performs literature-based curation of various sources.[1] It is a regularly updated online resource that contains >13,000 entries from ~1,000 distinct references.[2] Examples of data include transcription and translation rates, organism and organelle sizes, metabolites concentrations and growth rates. Entries are provided with full reference and details such as measurement method and comments.
BioNumbers also publishes a monthly review of a problem in quantitative biology.
History
editBioNumbers was created as a Wikipedia-format community collaborative initiative in 2007 by Ron Milo, Paul Jorgensen and Mike Springer at the Systems Biology Department at Harvard Medical School.[3][1] It is currently managed and curated at the Milo Lab from the Weizmann Institute of Science.
The database is funded by the Systems Biology Department at Harvard Medical School, and Weizmann Institute of Science.[2][4]
References
edit- ^ a b Phillips, Rob; Milo, Ron (2009-12-22). "A feeling for the numbers in biology". Proceedings of the National Academy of Sciences of the United States of America. 106 (51): 21465–21471. Bibcode:2009PNAS..10621465P. doi:10.1073/pnas.0907732106. ISSN 0027-8424. PMC 2799844. PMID 20018695.
- ^ a b Milo, Ron; Jorgensen, Paul; Moran, Uri; Weber, Griffin; Springer, Michael (2010). "BioNumbers—the database of key numbers in molecular and cell biology". Nucleic Acids Research. 38 (Database issue): D750–D753. doi:10.1093/nar/gkp889. ISSN 0305-1048. PMC 2808940. PMID 19854939.
- ^ Community, Physics (2022-02-24). "Interactions: Ron Milo and the BioNumbers database". Physics Community. Retrieved 2023-11-11.
- ^ "About Us". BioNumbers. Retrieved 2023-11-11.
External links
edit- BioNumbers
- BioNumbers on OpenWetWare
- Barry Schwartz BioNumbers – Specialty Biology Answer Search Engine March 24, 2009
- Milo Lab
- Ron Milo; Rob B. Phillips, Cell biology by the numbers, Wikidata Q106357478