Quality meets quantity - quality control, data standards and repositories

Proteomics. 2011 Mar;11(6):1031-6. doi: 10.1002/pmic.201000441. Epub 2011 Feb 7.

Abstract

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.

MeSH terms

  • Computational Biology / standards
  • Data Interpretation, Statistical
  • Humans
  • Proteome / isolation & purification
  • Proteomics / standards*
  • Proteomics / statistics & numerical data
  • Quality Control
  • Tandem Mass Spectrometry / standards
  • Tandem Mass Spectrometry / statistics & numerical data

Substances

  • Proteome