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An algorithm for the identification of genetically modified animals
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Animal ecology.
2013 (English)In: Trends in Biotechnology, ISSN 0167-7799, E-ISSN 1879-3096, Vol. 31, no 5, 8-10 p.Article in journal, Editorial material (Refereed) Published
Abstract [en]

The diffusion of genetically modified (GM) animals has generated a demand for accurate and unique identification to assure compliance with relevant national and international legislation. Individual identification of GM animals is essential to improve safety and traceability, as well as to fulfill the present and future expectations of producers, consumers, and authorities.

Place, publisher, year, edition, pages
2013. Vol. 31, no 5, 8-10 p.
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Natural Sciences
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URN: urn:nbn:se:uu:diva-201408DOI: 10.1016/j.tibtech.2013.02.001ISI: 000318469400002OAI: oai:DiVA.org:uu-201408DiVA: diva2:627429
Available from: 2013-06-11 Created: 2013-06-11 Last updated: 2017-12-06Bibliographically approved

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Sundström, Fredrik L.

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