Helena Friesen

TL;DR: Because digenic interactions are common in yeast, similar networks may underlie the complex genetics associated with inherited phenotypes in other organisms.

TL;DR: This work describes here a comprehensive database of genetic and protein interactions, and associated experimental evidence, for the budding yeast Saccharomyces cerevisiae, as manually curated from over 31,793 abstracts and online publications, and shows that the LC dataset considerably improves the predictive power of network-analysis approaches.

TL;DR: To evaluate protein abundance and localization on a proteome scale, the yeast GFP-fusion collection is exploited in a pipeline combining automated genetics, high-throughput microscopy, and computational feature analysis.

TL;DR: Some recent applications of HCS are described, ranging from the identification of genes required for specific biological processes to the characterization of genetic interactions, and major challenges associated with each are described.

TL;DR: It is found that entry into the meiotic divisions was not required for activation of middle sporulation genes; these genes were efficiently expressed in a clb1 clb3 clb4 strain, which fails to enter the meiosis divisions due to reduced Clb-dependent activation of Cdc28p kinase.