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.
Stephen Woloszynek, Joshua Chang Mell, Zhengqiao Zhao, Gideon Simpson, Michael P. O’Connor, and Gail Rosen. Exploring thematic structure and predicted functionality of 16S rRNA amplicon data. 2019. PLoS ONE 14(12); doi: https://doi.org/10.1371/journal.pone.0219235
# 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)
For future feature requests or suggestions, request an issue:
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.