 The paper presents Beersorder, a tool designed to detect viral signal in different types of microbial sequence data, including single-cell amplified genomes, SAGs, and genomic fragments assembled for metagenomic sequencing. Beersorder uses probabilistic models and extensive virome data to maximize detection of novel viruses. Performance testing shows that Beersorder outperforms existing tools for fragmented genomic and metagenomic data sets, and can identify viral signal in assembled sequence as short as 3KB. The tool is made available through the I-Plant Cyber Infrastructure and provides a web-based user interface interconnected with the required computing resources. Beersorder complements existing profage prediction softwares and should enable the discovery of new viruses in microbial data sets, furthering our understanding of uncultivated viral communities across diverse ecosystems. This article was authored by Simon Roux, François Inault, Bonnie L. Hurwitz, and others. We are article.tv, links in the description below.