Laboratory data and sample management for proteomics.

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


title = "Laboratory data and sample management for proteomics.",
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 = "Jari H{\"a}kkinen and Fredrik Levander",
year = "2011",
doi = "10.1007/978-1-60761-987-1_5",
language = "English",
isbn = "978-1-60761-986-4",
volume = "696",
series = "Methods in Molecular Biology",
publisher = "Springer",
pages = "79--92",
editor = "Michael Hamacher and Martin Eisenacher and Christian Stephan",
booktitle = "Data Mining in Proteomics : From Standards to Applications",