Laboratory data and sample management for proteomics.

Research output: Chapter in Book/Report/Conference proceedingBook chapter

Abstract

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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Subject classification (UKÄ) – MANDATORY

  • Cancer and Oncology
Original languageEnglish
Title of host publicationData Mining in Proteomics : From Standards to Applications
EditorsMichael Hamacher, Martin Eisenacher, Christian Stephan
PublisherSpringer
Pages79-92
Volume696
ISBN (Print)978-1-60761-986-4
Publication statusPublished - 2011
Publication categoryResearch
Peer-reviewedYes

Publication series

NameMethods in Molecular Biology
PublisherSpringer
Volume696
ISSN (Print)1940-6029