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
These data reflect the microbial DNA identified in equine blood samples before and after invasive dental procedures, and swabs collected from the oral cavity of the same horses.
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.
