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Maintainer: Patrick Schloss <[email protected]> | ||
Description: 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. The cluster command 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. | ||
Description: 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. | ||
License: MIT + file LICENSE | ||
Encoding: UTF-8 | ||
Imports: | ||
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