Month/Year of Graduation

5-2020

Degree Name

Bachelor of Science (B.S.)

Department

Bioinformatics

First Advisor

D.K. Bastola

Abstract

This study presents a novel methodology for analyzing metabolic pathways. Utilizing KEGG REST API through a Biopython package and file parser, data about whether or not a bacteria has an enzyme or not was extracted. The results found that differences in metabolic pathway enrichment values follow along the lines of genera and pathway type. In particular, bacteria found in food spoilage and commercial nitrogen fixing products had high values of enrichment.

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