| Laboratory data and sample management for proteomics. | |
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MedLine Citation:
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PMID: 21063942 Owner: NLM Status: In-Process |
Abstract/OtherAbstract:
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Proteomic experiments can be difficult to handle because of the large amount of data in different formats that is generated. Samples need to be managed and generated, data needs to be integrated with samples and annotation information. A laboratory information management system (LIMS) can be used to overcome some of the data handling problems. In this chapter, we discuss the role of a LIMS in the proteomics laboratory, and show two step-by-step examples of usage of the Proteios Software Environment (ProSE) to handle two different proteomics workflows. |
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Authors:
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Jari Häkkinen; Fredrik Levander |
Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Methods in molecular biology (Clifton, N.J.) Volume: 696 ISSN: 1940-6029 ISO Abbreviation: Methods Mol. Biol. Publication Date: 2011 |
Date Detail:
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Created Date: 2010-11-10 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9214969 Medline TA: Methods Mol Biol Country: United States |
Other Details:
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Languages: eng Pagination: 79-92 Citation Subset: IM |
Affiliation:
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Department of Oncology, Clinical Sciences, Lund University, Lund, Sweden. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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