Unknown

Dataset Information

VirSorter2: a multi-classifier, expert-guided approach to detect diverse DNA and RNA viruses.


ABSTRACT:

Background

Viruses are a significant player in many biosphere and human ecosystems, but most signals remain "hidden" in metagenomic/metatranscriptomic sequence datasets due to the lack of universal gene markers, database representatives, and insufficiently advanced identification tools.

Results

Here, we introduce VirSorter2, a DNA and RNA virus identification tool that leverages genome-informed database advances across a collection of customized automatic classifiers to improve the accuracy and range of virus sequence detection. When benchmarked against genomes from both isolated and uncultivated viruses, VirSorter2 uniquely performed consistently with high accuracy (F1-score > 0.8) across viral diversity, while all other tools under-detected viruses outside of the group mos

SUBMITTER: Guo J 

PROVIDER: S-EPMC7852108 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature