Quality meets quantity - quality control, data standards and repositories

被引:12
|
作者
Eisenacher, Martin [1 ]
Schnabel, Anke [1 ]
Stephan, Christian [1 ]
机构
[1] Ruhr Univ Bochum, Med Proteom Ctr, D-44801 Bochum, Germany
关键词
Bioinformatics; Data format; Data standard; Quality control; Quality criteria; Repository; PROTEOMICS DATA; FRAMEWORK; FORMAT; PRIDE; FUGE;
D O I
10.1002/pmic.201000441
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
In recent years, standardization and quality control have become important key points in industry, e. g. in drug discovery and for developing medical products. Is quality control in academic Proteomics a minor problem nowadays, where standard data formats and public repositories for data sharing exist? In this article, it is discussed how standard formats and repositories already support the documentation of quality control criteria in protein identification and quantification, and what has to be improved in the future: It is stated that the Proteomics community (represented by a group like the Proteomics Standards Initiative) will have to define a minimum document regarding quality control and to extend existing standards with additional quality control criteria enabling a substantial and standardized quality control process.
引用
收藏
页码:1031 / 1036
页数:6
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