Using Laboratory Information Management Systems as central part of a proteomics data workflow

被引：32

作者：

Stephan, Christian ^{[1
]}

Kohl, Michael ^{[1
]}

Turewicz, Michael ^{[1
]}

Podwojski, Katharina ^{[1
]}

Meyer, Helmut E. ^{[1
]}

Eisenacher, Martin ^{[1
]}

机构：

[1] Ruhr Univ Bochum, Med Proteom Ctr, Bochum, Germany

来源：

PROTEOMICS | 2010年 / 10卷 / 06期

关键词：

Bioinformatics; Data management; Laboratory Information Management System; Repository; PROTEIN IDENTIFICATION; STATISTICAL-MODEL; MS REPOSITORIES; TANDEM; PLATFORM; PROJECT; PRIDE; MS/MS; LIMS; TOOL;

D O I：

10.1002/pmic.200900420

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

The organization and storage of proteomics data are challenging issues today and even more for the rising amount of information in the future. This review article describes the advantages of using Laboratory Information Management Systems (LIMS) in proteomics laboratories. Seven typical LIMS are explored in detail to describe their role in an even bigger interrelation. They are a central part of the proteomics data workflow, starting with data generation and ending with the publication in journals and repositories. Therefore, they enable community-wide data utilization and further Systems Biology discoveries.

引用

页码：1230 / 1249

页数：20

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