Abstract
Motivation: Previously we presented swarm, an open-source amplicon clustering programme that produces fine-scale molecular operational taxonomic units (OTUs) that are free of arbitrary global clustering thresholds. Here, we present swarm v3 to address issues of contemporary datasets that are growing towards tera-byte sizes. Results: When compared with previous swarm versions, swarm v3 has modernized C++ source code, reduced memory footprint by up to 50%, optimized CPU-usage and multithreading (more than 7 times faster with default parameters), and it has been extensively tested for its robustness and logic.
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CITATION STYLE
Mahé, F., Czech, L., Stamatakis, A., Quince, C., De Vargas, C., Dunthorn, M., & Rognes, T. (2022). Swarm v3: towards tera-scale amplicon clustering. Bioinformatics, 38(1), 267–269. https://doi.org/10.1093/bioinformatics/btab493
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