Biology:BioNumbers

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Short description: Database of quantitative data in biology
BioNumbers
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Content
DescriptionDatabase of quantitative data in molecular and cell biology
Contact
LaboratoryMilo lab
Primary citationPMID 19854939
Release date2007
Access
Websitebionumbers.hms.harvard.edu

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.

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

BioNumbers 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

  1. 1.0 1.1 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. doi:10.1073/pnas.0907732106. ISSN 0027-8424. PMID 20018695. PMC 2799844. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2799844/. 
  2. 2.0 2.1 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. PMID 19854939. PMC 2808940. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2808940/. 
  3. Community, Physics (2022-02-24). "Interactions: Ron Milo and the BioNumbers database" (in en). http://physicscommunity.nature.com/posts/interactions-ron-milo-and-the-bionumbers-database. 
  4. "About Us". https://bionumbers.hms.harvard.edu/aboutus.aspx. 

External links