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

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 s...

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Bibliographic Details
Published in:Parasitology Today
Main Authors: Kay, J.W., Shinn, A.P., Somerville, C.
Format: Article in Journal/Newspaper
Language:unknown
Published: Elsevier 1999
Subjects:
Kay
Online Access:http://eprints.gla.ac.uk/159366/
Description
Summary: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.