Previously we presented Swarm v1, a novel and open source amplicon clustering program that produced fine-scale molecular operational taxonomic units (OTUs), free of arbitrary global clustering thresholds and input-order dependency. Swarm v1 worked with an initial phase that used iterative single-linkage with a local clustering threshold (d), followed by a phase that used the internal abundance structures of clusters to break chained OTUs. Here we present Swarm v2, which has two important novel features: (1) a new algorithm for d = 1 that allows the computation time of the program to scale linearly with increasing amounts of data; and (2) the new fastidious option that reduces under-grouping by grafting low abundant OTUs (e.g., singletons and doubletons) onto larger ones. Swarm v2 also directly integrates the clustering and breaking phases, dereplicates sequencing reads with d = 0, outputs OTU representatives in fasta format, and plots individual OTUs as two-dimensional networks.
Swarm v2: highly-scalable and high-resolution amplicon clustering
F. Mahé,Torbjørn Rognes,C. Quince,C. de Vargas,Micah Dunthorn
Published 2015 in PeerJ
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- Publication year
2015
- Venue
PeerJ
- Publication date
2015-12-10
- Fields of study
Biology, Medicine, Computer Science, Environmental Science
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Semantic Scholar, PubMed
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