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Chapter 81 : Algorithms for Detection and Identification of Viruses

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Algorithms for Detection and Identification of Viruses, Page 1 of 2

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Abstract:

Virology is a dynamic field that in recent decades has moved from the periphery to the mainstream of clinical laboratory practice. Since the last edition of this , the dramatic growth in the development and implementation of clinically useful molecular methods has accelerated. This trend has been facilitated by the increasing availability of commercial reagents and FDA-cleared kits, some requiring minimal molecular expertise. Laboratories without classical virology or molecular expertise can now implement state-of-the-art viral molecular testing. In addition to the advantages of molecular testing, some pitfalls are also becoming apparent as the tests are more widely used. Cost and value are increasing concerns. As we move forward, it is critical that laboratorians communicate with one another to address problems and optimize and standardize methods, as well as communicate with clinicians to guide appropriate usage and interpretation and to encourage input and feedback.

Citation: Landry M, Caliendo A, Ginocchio C, Tang Y, Valsamakis A. 2015. Algorithms for Detection and Identification of Viruses, p 1432-1435. In Jorgensen J, Pfaller M, Carroll K, Funke G, Landry M, Richter S, Warnock D (ed), Manual of Clinical Microbiology, Eleventh Edition. ASM Press, Washington, DC. doi: 10.1128/9781555817381.ch81
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TABLE 1

Methods for detection and identification of viruses

Citation: Landry M, Caliendo A, Ginocchio C, Tang Y, Valsamakis A. 2015. Algorithms for Detection and Identification of Viruses, p 1432-1435. In Jorgensen J, Pfaller M, Carroll K, Funke G, Landry M, Richter S, Warnock D (ed), Manual of Clinical Microbiology, Eleventh Edition. ASM Press, Washington, DC. doi: 10.1128/9781555817381.ch81

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