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    Analysis of a deletion library screen of the yeast Saccharomyces cerevisiae using Gene Ontology, protein-protein interaction, and metabolic pathway data

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    Author
    Graham, Joseph
    Simmons, Sean
    Gazan, Ethan
    Cobb, David
    
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    URI
    http://hdl.handle.net/10898/12668
    Title
    Analysis of a deletion library screen of the yeast Saccharomyces cerevisiae using Gene Ontology, protein-protein interaction, and metabolic pathway data
    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.
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