Quality meets quantity - quality control data standards and repositories
| Autor: | Christian Stephan, Anke Schnabel, Martin Eisenacher |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2011 |
| Předmět: |
Proteomics
Quality Control Proteome Standardization Computer science media_common.quotation_subject Biochemistry World Wide Web 03 medical and health sciences Documentation Tandem Mass Spectrometry Humans Quality (business) Quality policy Molecular Biology 030304 developmental biology media_common 0303 health sciences Proteomics Standards Initiative 030302 biochemistry & molecular biology Computational Biology Data science 3. Good health Data sharing Data Standard Data Interpretation Statistical Software quality control |
| Zdroj: | PROTEOMICS; Vol 11 PROTEOMICS |
| ISSN: | 1615-9853 |
| DOI: | 10.1002/pmic.201000441 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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