Prokaryotic virus host predictor: a Gaussian model for host prediction of prokaryotic viruses in metagenomics.

ABSTRACT:

Background

Viruses are ubiquitous biological entities, estimated to be the largest reservoirs of unexplored genetic diversity on Earth. Full functional characterization and annotation of newly discovered viruses requires tools to enable taxonomic assignment, the range of hosts, and biological properties of the virus. Here we focus on prokaryotic viruses, which include phages and archaeal viruses, and for which identifying the viral host is an essential step in characterizing the virus, as the virus relies on the host for survival. Currently, the method for determining the viral host is either to culture the virus, which is low-throughput, time-consuming, and expensive, or to computationally predict the viral hosts, which needs improvements at both accuracy and usability. Here we de

SUBMITTER: Lu C 

PROVIDER: S-EPMC7807511 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature