2024 Undergraduate Research Showcase
Document Type
Student Presentation
Presentation Date
4-19-2024
Faculty Sponsor
Dr. Stephanie Hudon
Abstract
The objective of this study was to analyze SARS-Cov-2 sequence variants and trends during the pandemic. This study was done using SARS-Cov-2 positive patient samples from Boise State University and the surrounding community. For variant analysis, Next Generation Sequencing was performed and the sequences were analyzed using the DRAGEN COVID Lineage (version 3s) pipeline on Illumina’s BaceSpace software. Any sequences with low-quality control were removed from the data. Some of the factors that were analyzed included symptoms by clade, campus positivity rates and the amount of campus and community tests run each semester. Individuals from the Boise State campus were identified as off-campus students, on-campus students, or faculty/staff members. The COVID sequencing data was also analyzed against key demographics such as an individual’s gender, age, race, ethnicity, and location. Sequences were also organized by the phylogeny of clades found from 2020-2024.
Recommended Citation
Potter, Makenna A.; Hardy, Alex G.; Welcker, Maureen L.; and Hudon, Stephanie F., "Genomic Data Analysis of SARS-Cov-2 Variants and Trends" (2024). 2024 Undergraduate Research Showcase. 90.
https://scholarworks.boisestate.edu/under_showcase_2024/90