Comparative study of encoded and alignment-based methods for virus taxonomy classification.

ABSTRACT: The emergence of viruses and their variants has made virus taxonomy more important than ever before in controlling the spread of diseases. The creation of efficient treatments and cures that target particular virus properties can be aided by understanding virus taxonomy. Alignment-based methods are commonly used for this task, but are computationally expensive and time-consuming, especially when dealing with large datasets or when detecting new virus variants is time sensitive. An alternative approach, the encoded method, has been developed that does not require prior sequence alignment and provides faster results. However, each encoded method has its own claimed accuracy. Therefore, careful evaluation and comparison of the performance of different encoded methods are essential to identify

SUBMITTER: Shaukat MA 

PROVIDER: S-EPMC10618506 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature