BiOMAP helps researchers make sense of large datasets by visualizing data as an interactive graph. It analyzes structural characteristics to help find new discoveries, work more efficiently, and check results. Currently in development at Ohio State based on ongoing graph theory research, BiOMAP seeks student programmers and referrals to researchers who need help understanding more data than they can on their own.

1. BiOMAP
Making Connections
Andrew, Ross, James, Xiaonan

4. The Problem
● Researchers have more data than they can
understand preventing them from finding
insight

5. The Solution
● Based on your data, we help you find what is
important by visualizing your data as an
interactive graph

6. How
● Analyze structural characteristics and
provide an interactive platform to:
○ Find New Discoveries
○ Work More Efficiency
○ Check Your Results

7. Revenue Model
● Institutional Licencing

8. Go-To-Market
● Strategic partnerships with universities and
research institutions

9. Current Status
● Based on ongoing research on graph theory
and visualization at Ohio State
● Extension of work in the Biomedical
Research Center at the Wexner Medical
Center

10. The Ask
● Referrals to researchers who need this
● Student programming team