PMID- 20077413 OWN - NLM STAT- MEDLINE DCOM- 20100618 LR - 20100329 IS - 1615-9861 (Electronic) IS - 1615-9853 (Linking) VI - 10 IP - 6 DP - 2010 Mar TI - Using Laboratory Information Management Systems as central part of a proteomics data workflow. PG - 1230-49 LID - 10.1002/pmic.200900420 [doi] AB - 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. FAU - Stephan, Christian AU - Stephan C AD - Medizinisches Proteom-Center, Ruhr-Universitaet Bochum, Bochum, Germany. christian.stephan@rub.de FAU - Kohl, Michael AU - Kohl M FAU - Turewicz, Michael AU - Turewicz M FAU - Podwojski, Katharina AU - Podwojski K FAU - Meyer, Helmut E AU - Meyer HE FAU - Eisenacher, Martin AU - Eisenacher M LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't PT - Review PL - Germany TA - Proteomics JT - Proteomics JID - 101092707 SB - IM MH - Automation, Laboratory MH - *Clinical Laboratory Information Systems/economics MH - Computational Biology MH - *Database Management Systems MH - *Databases, Protein MH - Information Storage and Retrieval/methods MH - Proteomics/*methods MH - User-Computer Interface RF - 52 EDAT- 2010/01/16 06:00 MHDA- 2010/06/19 06:00 CRDT- 2010/01/16 06:00 PHST- 2010/01/16 06:00 [entrez] PHST- 2010/01/16 06:00 [pubmed] PHST- 2010/06/19 06:00 [medline] AID - 10.1002/pmic.200900420 [doi] PST - ppublish SO - Proteomics. 2010 Mar;10(6):1230-49. doi: 10.1002/pmic.200900420.