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.

See also

Useful links:

• http://www.schlosslab.org/clustur/

• https://github.com/SchlossLab/clustur

• Report bugs at https://github.com/SchlossLab/clustur/issues

Author

Maintainer: Patrick Schloss pschloss@umich.edu (ORCID) [copyright holder]

Authors:

• Gregory Johnson grejoh@umich.edu (ORCID)

• Sarah Westcott swestcot@umich.edu