Abstract

Expressing big data in a meaningful manner is exceptionally difficult. Scientists often struggle with the visualization of data due to several limitations. Currently, many scientists use two-dimensional figures to display and analyze meaningful data. However, I believe using game design theory and game technologies, we can create more robust visualizations. These visualizations will allow scientists to easily communicate science to the masses and make better discoveries. Therefore, we introduce BioDOV (Biological Data Oriented Visualization). This tool will utilize game design principles to expand upon current visualization methods in the scientific community. Through this proof of concept, we will create the groundwork for better visualization technologies.

Library of Congress Subject Headings

Information visualization; Big data; Gamification; Bioinformatics

Publication Date

11-13-2023

Document Type

Thesis

Student Type

Graduate

Degree Name

Bioinformatics (MS)

Department, Program, or Center

Thomas H. Gosnell School of Life Sciences

College

College of Science

Advisor

Gary Skuse

Advisor/Committee Member

Gordon Broderick

Advisor/Committee Member

Dina Newman

Campus

RIT – Main Campus

Plan Codes

BIOINFO-MS

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