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Laboratory data and sample management for proteomics

  • Michael Hamacher
  • Martin Eisenacher
  • Christian Stephan
Publiceringsår: 2011
Språk: Engelska
Sidor: 79-92
Publikation/Tidskrift/Serie: Data Mining in Proteomics : From Standards to Applications/Methods in Molecular Biology
Volym: 696
Dokumenttyp: Del av eller Kapitel i bok
Förlag: Springer


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.



  • Biology and Life Sciences


  • ISBN: 978-1-60761-986-4

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