Gene Prediction Process for the SARS-CoV-2 Virus
Computational approaches for analyzing biological data have revolutionized many subfields of biology. This impact has been so large that a new term has been coined to describe this type of interdisciplinary fusion of biology, computation, math, and statistics: bioinformatics.
In this project, I built a gene predictor of the SARS-CoV-2 virus using Python to identify potential protein-coding genes in the SARS-CoV-2 virus, and use the protein-BLAST search engine to determine which of these genes may encode key proteins of the virus, gaining insight of the process that goes into understanding COVID-19.
Within the sars-cov-2.ipynb notebook is the function implementation used to extract the genes in the virus and completed unit tests on the various functions in
test_gene_finder.py
This project was developed within my Software Design class during my first year at the Olin College of Engineering.