PMID- 21063942
OWN - NLM
STAT- MEDLINE
DCOM- 20110215
LR  - 20101110
IS  - 1940-6029 (Electronic)
IS  - 1064-3745 (Linking)
VI  - 696
DP  - 2011
TI  - Laboratory data and sample management for proteomics.
PG  - 79-92
LID - 10.1007/978-1-60761-987-1_5 [doi]
AB  - 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.
FAU - Hakkinen, Jari
AU  - Hakkinen J
AD  - Department of Oncology, Clinical Sciences, Lund University, Lund, Sweden.
FAU - Levander, Fredrik
AU  - Levander F
LA  - eng
PT  - Journal Article
PL  - United States
TA  - Methods Mol Biol
JT  - Methods in molecular biology (Clifton, N.J.)
JID - 9214969
SB  - IM
MH  - Chromatography, Liquid
MH  - *Clinical Laboratory Information Systems
MH  - *Database Management Systems
MH  - *Databases, Protein
MH  - Electrophoresis, Gel, Two-Dimensional
MH  - Humans
MH  - Mass Spectrometry
MH  - Proteomics/*methods
MH  - Software
EDAT- 2010/11/11 06:00
MHDA- 2011/02/16 06:00
CRDT- 2010/11/11 06:00
PHST- 2010/11/11 06:00 [entrez]
PHST- 2010/11/11 06:00 [pubmed]
PHST- 2011/02/16 06:00 [medline]
AID - 10.1007/978-1-60761-987-1_5 [doi]
PST - ppublish
SO  - Methods Mol Biol. 2011;696:79-92. doi: 10.1007/978-1-60761-987-1_5.