 The article presents Viersorder, a tool designed to detect viral signal in different types of microbial sequence data such as single-cell amplified genomes, sags, and genomic fragments assembled from metagenomic sequencing. Viersorder uses probabilistic models and extensive virome data to maximize detection of novel viruses and performs better than existing tools for fragmented genomic and metagenomic data sets. The tool can identify viral signal in assembled sequence as short as 3KB, with near-perfect identification on contigs of at least 10KB. Viersorder is made available through the I-Plant Cyber Infrastructure and can be used to more confidently identify viral sequence in viral metagenomes by sorting away cellular DNA. The tool will enable the discovery of new viruses in microbial data sets and further our understanding of uncultivated viral communities across diverse ecosystems. This article was authored by Simon Rue, Francois Inult, Bonnie L. Hurwitz, and others. We are article.tv. Links in the description below.