Analysis of the SLO Bay Microbiome from a Network Perspective

<p>Microorganisms are key players in the ecosystem functioning. In this thesis, we developed a framework to preprocess raw microbiome data, build a correlation network, and analyze co-occurrence patterns between microbes. We then applied this framework to a marine microbiome dataset. The dataset used in this study comes from a year-long time-series to characterize the microbial communities in our coastal waters off the Cal Poly Pier. In analyzing this dataset, we were able to observe and confirm previously discovered patterns of interactions and generate hypotheses about new patterns. The analysis of co-occurrences between prokaryotic and eukaryotic taxa is relatively novel and can provide new insight into how marine microbial communites are structured and interact.</p>

Name thesis:degree_name

MS in Computer Science

Discipline thesis:degree_discipline

Computer Science

Year dc:date.available

2021

Author dc:creator

• Nguyen, Lien Viet

Contributors dc:contributor

• Theresa Migler
• Computer Science
• College of Engineering

• Graph Theory
• Microbiome
• Other Computer Sciences
• Terrestrial and Aquatic Ecology

Identifier

10.15368/theses.2021.121

OAI identifier oai:identifier

oai:digitalcommons.calpoly.edu:theses-3923