Publisher
The University of Arizona.Rights
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.Abstract
The goal of the project is to develop novel methods and visualizations that improve the interpretability of microbiome datasets. The gut microbiome has been identified as an important factor associated with numerous conditions and diseases that previously were not known to be related. Microbiome data has been linked to many physiological processes including immune system function, gastrointestinal tract function, sleep quality, and athletic performance as well as indicators for digestive disorders which currently are difficult to diagnose. It is important to translate these complex datasets into actionable reports that could help guide the clinical intervention decisions made by physicians for their patients. Current consumer services have a shallow depth of sample testing and either produce extravagant claims weakly backed by evidence to sell their products or are a means to an end for scientific research. Few efforts to visualize biome sample data from private or academic sources have been produced with the goal in mind of informing nonexperts in the field.This application is the culmination of the proof-of-concept phase-oriented toward the greater goal of providing owners of microbiome sample data with a means with which to visualize, interpret, and understand this component of their health.Type
Electronic Thesistext
Degree Name
B.S.Degree Level
bachelorsDegree Program
Biomedical EngineeringHonors College
