 Swarm is a de novo Amplicon clustering method that addresses the flaws of popular methods by using local thresholding and refining results based on cluster structure and Amplicon abundances, resulting in fast, scalable, and input order independent operational taxonomic units. This article was authored by Frederic Mahé, Torbjorn Rohns, Christopher Quince, and others.