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分子生物学数据库中的质量控制

Quality control in databanks for molecular biology.

出版信息

Bioessays. 2000 Nov;22(11):1024-34. doi: 10.1002/1521-1878(200011)22:11<1024::AID-BIES9>3.0.CO;2-W.

Abstract

Using a scientific measurement without an estimate of its error is like lending money to a stranger. Given the explosion in nucleic acid and protein sequence and structural data, what risks are the scientific and medical communities running in using these databases. Is there an 'ombudsman' who speaks for the users of the data? CODATA, the Committee on Data for Science and Technology of the International Council of Scientific Unions was established to improve the quality, reliability, processing, management, and accessibility of data for science and technology. The CODATA Task Group on Biological Macromolecules has surveyed quality control procedures of archival databanks in molecular biology. Our role is 'to advise, to be consulted, and to warn.' This report describes the kinds and extents of errors that may appear in nucleic acid and protein databases, and presents an agenda for future work to improve the quality of these databases. The results of the survey appear on the webhttp://www.codata.org/codata/tgreports/ tg_reps.html.

摘要

使用一项科学测量却不估计其误差,就如同把钱借给一个陌生人。鉴于核酸和蛋白质序列及结构数据的爆炸式增长,科学界和医学界在使用这些数据库时面临哪些风险?是否有一位代表数据使用者发声的“申诉专员”?国际科学联合会理事会的数据科学与技术委员会(CODATA)的设立目的是提高科技数据的质量、可靠性、处理、管理及可获取性。CODATA生物大分子任务组已对分子生物学存档数据库的质量控制程序进行了调查。我们的职责是“提供建议、接受咨询并发出警告”。本报告描述了可能出现在核酸和蛋白质数据库中的错误种类及程度,并提出了未来提高这些数据库质量的工作议程。调查结果公布在网页http://www.codata.org/codata/tgreports/tg_reps.html上。

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