uu.seUppsala University Publications
Change search
ReferencesLink to record
Permanent link

Direct link
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.
National Category
Natural Sciences
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: 2013-06-11Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Sundström, Fredrik L.
By organisation
Animal ecology
In the same journal
Trends in Biotechnology
Natural Sciences

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 188 hits
ReferencesLink to record
Permanent link

Direct link