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Sci Rep. 2014 Mar 4;4:4278. doi: 10.1038/srep04278.

Efficient sample tracking with OpenLabFramework.

Author information

1
1] Lundbeckfonden Center of Excellence in Nanomedicine NanoCAN, University of Southern Denmark, Odense, DK [2] Institute of Molecular Medicin (IMM), University of Southern Denmark, Odense, DK [3] Clinical Institute (CI), University of Southern Denmark, Odense, DK.
2
1] Lundbeckfonden Center of Excellence in Nanomedicine NanoCAN, University of Southern Denmark, Odense, DK [2] Institute of Molecular Medicin (IMM), University of Southern Denmark, Odense, DK.
3
1] Lundbeckfonden Center of Excellence in Nanomedicine NanoCAN, University of Southern Denmark, Odense, DK [2] Institute of Molecular Medicin (IMM), University of Southern Denmark, Odense, DK [3] Department of Biochemistry and Molecular Biology (BMB), University of Southern Denmark, Odense, DK.
4
io-consultants GmbH & Co. KG, Heidelberg, DE.
5
1] Lundbeckfonden Center of Excellence in Nanomedicine NanoCAN, University of Southern Denmark, Odense, DK [2] Clinical Institute (CI), University of Southern Denmark, Odense, DK.
6
1] Clinical Institute (CI), University of Southern Denmark, Odense, DK [2] Epidemiology, Biostatistics and Biodemography, Institute of Public Health, University of Southern Denmark, Odense, DK.
7
Department of Mathematics and Computer Science (IMADA), University of Southern Denmark, Odense, DK.

Abstract

The advance of new technologies in biomedical research has led to a dramatic growth in experimental throughput. Projects therefore steadily grow in size and involve a larger number of researchers. Spreadsheets traditionally used are thus no longer suitable for keeping track of the vast amounts of samples created and need to be replaced with state-of-the-art laboratory information management systems. Such systems have been developed in large numbers, but they are often limited to specific research domains and types of data. One domain so far neglected is the management of libraries of vector clones and genetically engineered cell lines. OpenLabFramework is a newly developed web-application for sample tracking, particularly laid out to fill this gap, but with an open architecture allowing it to be extended for other biological materials and functional data. Its sample tracking mechanism is fully customizable and aids productivity further through support for mobile devices and barcoded labels.

PMID:
24589879
PMCID:
PMC3940979
DOI:
10.1038/srep04278
[Indexed for MEDLINE]
Free PMC Article

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