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Laboratory data and sample management for proteomics.

På svenska

Author

Editor

  • Michael Hamacher
  • Martin Eisenacher
  • Christian Stephan

Summary, in English

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.

Publishing year

2011

Language

English

Pages

79-92

Publication/Series

Methods in Molecular Biology

Volume

696

Document type

Book chapter

Publisher

Springer

Topic

  • Bioinformatics and Systems Biology

Status

Published

ISBN/ISSN/Other

  • ISSN: 1940-6029
  • ISBN: 978-1-60761-986-4