Laboratory data and sample management for proteomics.

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKapitel samlingsverk

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.

Detaljer

Författare
Enheter & grupper
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Cancer och onkologi
Originalspråkengelska
Titel på värdpublikationData Mining in Proteomics : From Standards to Applications
RedaktörerMichael Hamacher, Martin Eisenacher, Christian Stephan
FörlagSpringer
Sidor79-92
Volym696
ISBN (tryckt)978-1-60761-986-4
StatusPublished - 2011
PublikationskategoriForskning
Peer review utfördJa

Publikationsserier

NamnMethods in Molecular Biology
FörlagSpringer
Volym696
ISSN (tryckt)1940-6029