Charles Boone

Summary

Affiliation: University of Toronto
Country: Canada

Publications

  1. Grys B, Lo D, Sahin N, Kraus O, Morris Q, Boone C, et al. Machine learning and computer vision approaches for phenotypic profiling. J Cell Biol. 2017;216:65-71 pubmed publisher
    ..Here, we provide an overview of the commonly used computer vision and machine-learning methods for generating and categorizing phenotypic profiles, highlighting the general biological utility of each approach. ..
  2. Boone C, Andrews B. HUMAN GENOME. The indispensable genome. Science. 2015;350:1028-9 pubmed publisher
  3. Kraus O, Grys B, Ba J, Chong Y, Frey B, Boone C, et al. Automated analysis of high-content microscopy data with deep learning. Mol Syst Biol. 2017;13:924 pubmed publisher
    ..We offer an open-source implementation that enables updating DeepLoc on new microscopy datasets. This study highlights deep learning as an important tool for the expedited analysis of high-content microscopy data. ..
  4. Hou J, van Leeuwen J, Andrews B, Boone C. Genetic Network Complexity Shapes Background-Dependent Phenotypic Expression. Trends Genet. 2018;34:578-586 pubmed publisher
  5. Dickinson Q, Bottoms S, Hinchman L, McIlwain S, Li S, Myers C, et al. Mechanism of imidazolium ionic liquids toxicity in Saccharomyces cerevisiae and rational engineering of a tolerant, xylose-fermenting strain. Microb Cell Fact. 2016;15:17 pubmed publisher
    ..We propose a model of IIL toxicity and resistance. This work demonstrates the utility of chemical genomics-guided biodesign for development of superior microbial biocatalysts for the ever-changing landscape of fermentation inhibitors. ..
  6. Styles E, Founk K, Zamparo L, Sing T, Altintas D, Ribeyre C, et al. Exploring Quantitative Yeast Phenomics with Single-Cell Analysis of DNA Damage Foci. Cell Syst. 2016;3:264-277.e10 pubmed publisher
    ..This approach is extensible to numerous other cell biological markers and experimental systems. ..
  7. Boone C, Bussey H, Andrews B. Exploring genetic interactions and networks with yeast. Nat Rev Genet. 2007;8:437-49 pubmed
    ..A comparative understanding of genetic-interaction networks promises insights into some long-standing genetic problems, such as the nature of quantitative traits and the basis of complex inherited disease. ..