selected publications
-
academic article
- Seed: a user-friendly tool for exploring and visualizing microbial community data. Bioinformatics. 31:602-603. 2015
- Machine learning classifiers provide insight into the relationship between microbial communities and bacterial vaginosis. Biodata Mining. 8. 2015
- Machine learning techniques accurately classify microbial communities by bacterial vaginosis characteristics. PLOS One. 9:e87830. 2014
- mcaGUI: microbial community analysis R-Graphical User Interface (GUI). Bioinformatics. 28. 2013
- Characterization of the diversity and temporal stability of bacterial communities in human milk. PLOS One. 6:e21313. 2011
- Microbial Communities as Experimental Units.. BioScience. 61. 2011
- OTUbase: an R infrastructure package for operational taxonomic unit data.. Bioinformatics. 27. 2011
- The human milk microbiome: a potential influence on mammary health and bacterial colonization of the infant gut. FASEB Journal. 24. 2010
-
thesis