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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2014-09-01
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| Series: | PeerJ |
| Subjects: | |
| Online Access: | https://peerj.com/articles/593.pdf |
