Analysis of a deletion library screen of the yeast Saccharomyces cerevisiae using Gene Ontology, protein-protein interaction, and metabolic pathway data
dc.contributor.advisor | Wiles, Amy | |
dc.contributor.author | Graham, Joseph | |
dc.contributor.author | Simmons, Sean | |
dc.contributor.author | Gazan, Ethan | |
dc.contributor.author | Cobb, David | |
dc.date.accessioned | 2021-05-03T14:00:20Z | |
dc.date.available | 2021-05-03T14:00:20Z | |
dc.date.issued | 2021 | |
dc.identifier.uri | http://hdl.handle.net/10898/12668 | |
dc.description.abstract | Saccharomyces cerevisiae (baker's yeast) is a commonly used eukaryotic model organism particularly suited to genomic and metabolic study. We hope to identify genes novel to sulfur and nitrogen metabolism. In previous experiments from this lab, a gene deletion library of 5,132 yeast strains was screened to identify genes necessary for growth in the absence of sulfur or nitrogen. If a gene were deleted and no growth were observed, this gene was determined to be important for allowing proliferation in the nutrient-limited environments and flagged as a hit. In this project, a one way ANOVA test was performed on the screen using R using the BiocManager library and limma package. The results of the ANOVA test were joined in MySQL with Gene Ontology (FuncAssociate), protein-protein interaction (InterPro), and metabolic/signaling pathway (KEGG) data obtained from Ensembl. Here we use analysis of these three types of data to distinguish common themes among the genes identified as hits. | |
dc.title | Analysis of a deletion library screen of the yeast Saccharomyces cerevisiae using Gene Ontology, protein-protein interaction, and metabolic pathway data | |
dc.type | Presentation | |
refterms.dateFOA | 2021-05-03T14:00:20Z |