Department of Plant Sciences, Weizmann Institute of Science, Rehovot 76100, Israel.
Nucleic Acids Res. 2010 Jan;38(Database issue):D750-3. doi: 10.1093/nar/gkp889. Epub 2009 Oct 23.
BioNumbers (http://www.bionumbers.hms.harvard.edu) is a database of key numbers in molecular and cell biology--the quantitative properties of biological systems of interest to computational, systems and molecular cell biologists. Contents of the database range from cell sizes to metabolite concentrations, from reaction rates to generation times, from genome sizes to the number of mitochondria in a cell. While always of importance to biologists, having numbers in hand is becoming increasingly critical for experimenting, modeling, and analyzing biological systems. BioNumbers was motivated by an appreciation of how long it can take to find even the simplest number in the vast biological literature. All numbers are taken directly from a literature source and that reference is provided with the number. BioNumbers is designed to be highly searchable and queries can be performed by keywords or browsed by menus. BioNumbers is a collaborative community platform where registered users can add content and make comments on existing data. All new entries and commentary are curated to maintain high quality. Here we describe the database characteristics and implementation, demonstrate its use, and discuss future directions for its development.
BioNumbers(http://www.bionumbers.hms.harvard.edu)是一个分子和细胞生物学关键数值数据库,这些数值是计算、系统和分子细胞生物学家感兴趣的生物系统的定量属性。数据库的内容范围从细胞大小到代谢物浓度,从反应速率到世代时间,从基因组大小到细胞中线粒体的数量。虽然这些数值对生物学家一直都很重要,但对于实验、建模和分析生物系统来说,拥有这些数值变得越来越关键。BioNumbers 的创建是因为意识到在浩瀚的生物学文献中找到最简单的数值也可能需要很长时间。所有数值均直接取自文献来源,并随数值提供该文献的参考信息。BioNumbers 旨在高度可搜索,用户可以通过关键字进行查询,也可以通过菜单浏览。BioNumbers 是一个协作式社区平台,注册用户可以添加内容并对现有数据发表评论。所有新条目和评论都经过精心编辑,以保持高质量。本文将介绍数据库的特点和实现方式,演示其使用方法,并讨论其未来的发展方向。