Jennfier Barb, Staff Scientist, National Institutes of Health
Gwenyth R. Wallen, Principal Investigator, NIH
JMP has been used by our interdisciplinary group at the NIH Clinical Center for the analysis of clinical research data to test and develop data-driven hypotheses supporting our bench to bedside to community and back translational model. We will present a workflow exemplar visualization of correlates between antibiotic use and patient-specific oral microbiomes. Starting with a spreadsheet of more than 2000 entries of antibiotic medication use in patients with a rare disease, and a separate spreadsheet of bacteria present in the oral microbiome from each patient, we created a visualization of the longitudinal antibiotic use through the course of the treatment program and correlated the use of the antibiotics with the oral microbiome diversity metrics. It is well known that the use of antibiotics can perturb the normal human microbiota yet its global effect on the oral microbiome remains unclear. We describe how the JMP Graph Builder tool was used to further explain whether antibiotics may have affected the oral microbiome in this rare disease patient cohort. The graphical nature of JMP has been used as a tool for data analytics within our group for years and has facilitated the publication of frequently cited peer-reviewed translational clinical research articles.
