Laboratory data and sample management for proteomics.
(2011) In Methods in Molecular Biology 696. p.79-92- 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1732109
- author
- Häkkinen, Jari LU and Levander, Fredrik LU
- organization
- publishing date
- 2011
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Data Mining in Proteomics : From Standards to Applications
- series title
- Methods in Molecular Biology
- editor
- Hamacher, Michael ; Eisenacher, Martin and Stephan, Christian
- volume
- 696
- pages
- 79 - 92
- publisher
- Springer
- external identifiers
-
- pmid:21063942
- scopus:79952201416
- pmid:21063942
- ISSN
- 1940-6029
- ISBN
- 978-1-60761-986-4
- DOI
- 10.1007/978-1-60761-987-1_5
- language
- English
- LU publication?
- yes
- id
- 627b4ec1-6776-4616-b3f2-9b0f4d6e52e1 (old id 1732109)
- date added to LUP
- 2016-04-04 08:05:15
- date last changed
- 2024-05-17 22:45:39
@inbook{627b4ec1-6776-4616-b3f2-9b0f4d6e52e1, 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.}}, author = {{Häkkinen, Jari and Levander, Fredrik}}, booktitle = {{Data Mining in Proteomics : From Standards to Applications}}, editor = {{Hamacher, Michael and Eisenacher, Martin and Stephan, Christian}}, isbn = {{978-1-60761-986-4}}, issn = {{1940-6029}}, language = {{eng}}, pages = {{79--92}}, publisher = {{Springer}}, series = {{Methods in Molecular Biology}}, title = {{Laboratory data and sample management for proteomics.}}, url = {{http://dx.doi.org/10.1007/978-1-60761-987-1_5}}, doi = {{10.1007/978-1-60761-987-1_5}}, volume = {{696}}, year = {{2011}}, }