Advances towards an automated system for the identification of notifiable pathogens: the salmon parasite Gyrodactylus salaris as an example

Kay, J.W., Shinn, A.P. and Somerville, C. (1999) Advances towards an automated system for the identification of notifiable pathogens: the salmon parasite Gyrodactylus salaris as an example. Parasitology Today, 15(5), pp. 201-206. (doi: 10.1016/S0169-4758(99)01433-7) (PMID:10322355)

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Abstract

Simple and rapid identification of pathogen species is crucial to the control of many diseases. Here, James Kay, Andrew Shinn and Christina Sommerville demonstrate that statistical classifiers discriminate a notifiable pathogen Gyrodactylus salaris Malmberg, 1957, a lethal ectoparasite of Atlantic salmon, Salmo salar L., from its benign close relatives.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Kay, Dr James
Authors: Kay, J.W., Shinn, A.P., and Somerville, C.
College/School:College of Science and Engineering > School of Mathematics and Statistics > Statistics
Journal Name:Parasitology Today
Publisher:Elsevier
ISSN:0169-4758
Published Online:17 June 1999

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