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Using Laboratory Information Management Systems as central part of a proteomics data workflow
Author(s) -
Stephan Christian,
Kohl Michael,
Turewicz Michael,
Podwojski Katharina,
Meyer Helmut E.,
Eisenacher Martin
Publication year - 2010
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.200900420
Subject(s) - workflow , proteomics , computer science , data science , data management , information system , engineering , database , chemistry , biochemistry , electrical engineering , gene
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.