clustur
Clustering
A tool that implements the clustering algorithms from 'mothur' (Schloss PD et al. (2009) doi:10.1128/AEM.01541-09). 'clustur' make use of the cluster() and make.shared() command from 'mothur'. Our cluster() function has five different algorithms implemented: 'OptiClust', 'furthest', 'nearest', 'average', and 'weighted'. 'OptiClust' is an optimized clustering method for Operational Taxonomic Units, and you can learn more here, (Westcott SL, Schloss PD (2017) doi:10.1128/mspheredirect.00073-17). The make.shared() command is always applied at the end of the clustering command. This functionality allows us to generate and create clustering and abundance data efficiently.
- Version0.1.1
- R version≥ 3.5.0
- LicenseMIT
- Needs compilation?Yes
- Last release11/25/2024
Documentation
Team
Patrick Schloss
MaintainerShow author detailsGregory Johnson
Sarah Westcott
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- Imports2 packages
- Suggests4 packages
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