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dc.contributor.advisorWiles, Amy
dc.contributor.authorGraham, Joseph
dc.contributor.authorSimmons, Sean
dc.contributor.authorGazan, Ethan
dc.contributor.authorCobb, David
dc.date.accessioned2021-05-03T14:00:20Z
dc.date.available2021-05-03T14:00:20Z
dc.date.issued2021
dc.identifier.urihttp://hdl.handle.net/10898/12668
dc.description.abstractSaccharomyces 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.titleAnalysis of a deletion library screen of the yeast Saccharomyces cerevisiae using Gene Ontology, protein-protein interaction, and metabolic pathway data
dc.typePresentation
refterms.dateFOA2021-05-03T14:00:20Z


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