Table 2 Summary of contig-based virus identification.
Li, Y. et al. VIP: an integrated pipeline for metagenomics of virus identification and discovery.
In this work, genetic algorithms and multilayer neural networks are applied to plant virus identification.
Presumptive methods of virus identification, that is CPE on BGM cells and haemagglutination test, were not able to detect them.
This report describes a virus identification method featuring high throughput, high resolution, and high sensitivity detection of viruses.
The signals could be made as image files for specific virus detection, and this could be useful for virus identification and differentiation.
The method is tested against some of the most commonly used classifiers in machine learning via cross-validation and proved its potential towards assisting virus identification.
However, before becoming involved in the monitoring of potential smallpox cases, a laboratory must consider several issues, including expertise in virus identification, capacity for handling biohazards, and health and immune status of laboratory staff.
A five-tube mRT-PCR was used for virus identification as previously described [43], [44].
An IgG titer ≥163,840 in a single serum specimen was also considered laboratory-positive for recent, secondary dengue infections even without positive virus identification results.
Nucleic acid sequencing is considered the most reliable and highest-resolution method for virus identification, but is typically too slow and costly to use as a primary assay.
