Swarm: robust and fast clustering method for amplicon-based studies

Popular de novo amplicon clustering methods suffer from two fundamental flaws: arbitrary global clustering thresholds, and input-order dependency induced by centroid selection. Swarm was developed to address these issues by first clustering nearly identical amplicons iteratively using a local thresh...

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Bibliographic Details
Main Authors: Frédéric Mahé, Torbjørn Rognes, Christopher Quince, Colomban de Vargas, Micah Dunthorn
Format: Article
Language:English
Published: PeerJ Inc. 2014-09-01
Series:PeerJ
Subjects:
Online Access:https://peerj.com/articles/593.pdf

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