phenom: A Population Growth Modeling Web App for Microbiologists
A team of students will work with technology experts, faculty from the Biology Department, and microbiology research community collaborators to review an existing proof-of-concept application developed in the R package Shiny. The app will enable microbiologists to easily upload, analyze, and graph large population growth phenotyping datasets. Such analysis can be used for better treatment of pathogenic bacterial infections, food safety, industrial fermentation, and understanding stress resilience of the microbiome.
Students will gather requirements and feedback from practitioners, investigate alternative user interfaces, and develop a web app to improve the user experience, fulfill feature requests and support researchers.
- Kelvin Bueno Gonzalez
- Delali Cudjoe
- Christopher Hall - Program Staff
- Grace Liu
- Sigrid Real-Aguilar
- Elise Zhang
Student Project Managers/Facilitators