themetagenomics provides functions to explore topics generated from 16S rRNA sequencing information on both the abundance and functional levels. It also provides an R implementation of PICRUSt and wraps Tax4fun, giving users a choice for their functional prediction strategy.
Relevant Software and Literature
Stephen Woloszynek, Zhengqiao Zhao, Gideon Simpson, Joshua Chang Mell, and Gail Rosen. Gauging the use of topic models as a means to understand microbiome data structure. TBD, 2017
# To install the release version of Themetagenomics: install.packages('themetagenomics') # To install the developmental version via Github: # install.packages('devtools') devtools::install_github('EESI/themetagenomics',build_vignettes=TRUE)
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