Literature DB >> 21365750

Quality meets quantity - quality control, data standards and repositories.

Martin Eisenacher1, Anke Schnabel, Christian Stephan.   

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.
Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Mesh:

Substances:

Year:  2011        PMID: 21365750     DOI: 10.1002/pmic.201000441

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  4 in total

1.  UniProtKB amid the turmoil of plant proteomics research.

Authors:  Michel Schneider; Sylvain Poux
Journal:  Front Plant Sci       Date:  2012-12-06       Impact factor: 5.753

Review 2.  Quality assessment and optimization of purified protein samples: why and how?

Authors:  Bertrand Raynal; Pascal Lenormand; Bruno Baron; Sylviane Hoos; Patrick England
Journal:  Microb Cell Fact       Date:  2014-12-30       Impact factor: 5.328

3.  QCloud: A cloud-based quality control system for mass spectrometry-based proteomics laboratories.

Authors:  Cristina Chiva; Roger Olivella; Eva Borràs; Guadalupe Espadas; Olga Pastor; Amanda Solé; Eduard Sabidó
Journal:  PLoS One       Date:  2018-01-11       Impact factor: 3.240

4.  The mzQuantML data standard for mass spectrometry-based quantitative studies in proteomics.

Authors:  Mathias Walzer; Da Qi; Gerhard Mayer; Julian Uszkoreit; Martin Eisenacher; Timo Sachsenberg; Faviel F Gonzalez-Galarza; Jun Fan; Conrad Bessant; Eric W Deutsch; Florian Reisinger; Juan Antonio Vizcaíno; J Alberto Medina-Aunon; Juan Pablo Albar; Oliver Kohlbacher; Andrew R Jones
Journal:  Mol Cell Proteomics       Date:  2013-04-18       Impact factor: 5.911

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.