The purpose of this study was to select markers that improve predictive power through machine learning among various vaginal microbiota and develop an excellent prediction algorithm that combines clin
This is an R object (.rds file) containing the taxonomic information for all possible OTUs detected in this dataset. These are the GreenGenes 13_8 97% reference OTUs.
We collected specimens of Ulva sp. (green algae), Saccharina sp. (brown algae), Grateloupia sp., and Gelidium sp. (both red algae) during all four seasons from a co
