Document Detail


An algorithm for the identification of genetically modified animals.
MedLine Citation:
PMID:  23618340     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
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.
Authors:
Flavio Forabosco; Fredrik L Sundström; Lotta Rydhmer
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Trends in biotechnology     Volume:  31     ISSN:  1879-3096     ISO Abbreviation:  Trends Biotechnol.     Publication Date:  2013 May 
Date Detail:
Created Date:  2013-04-26     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8310903     Medline TA:  Trends Biotechnol     Country:  England    
Other Details:
Languages:  eng     Pagination:  272-4     Citation Subset:  IM    
Copyright Information:
Copyright © 2013 Elsevier Ltd. All rights reserved.
Affiliation:
Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Box 7023, SE-750 07 Uppsala, Sweden. Electronic address: Flavio.Forabosco@slu.se.
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