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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.
Getting started
Browse package contents
Package details |
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| Author | Gregory Johnson [aut] (<https://orcid.org/0009-0008-3890-0297>), Sarah Westcott [aut], Patrick Schloss [aut, cre, cph] (<https://orcid.org/0000-0002-6935-4275>) |
| Maintainer | Patrick Schloss <pschloss@umich.edu> |
| License | GPL (>= 3) |
| Version | 0.1.2 |
| URL | http://www.schlosslab.org/clustur/ https://github.com/SchlossLab/clustur |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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