Yolanda T. Chong

3Helena Friesen
2Sara Sharifpoor
2Ji-Young Youn
2Dewald van Dyk
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  • Sara Sharifpoor, Alex N Nguyen Ba, Ji-Young Youn, Dewald van Dyk, Helena Friesen, Alison C Douglas +5 others
  • 2011
We describe the Yeast Kinase Interaction Database (KID, http://www.moseslab.csb.utoronto.ca/KID/), which contains high- and low-throughput data relevant to phosphorylation events. KID includes 6,225 low-throughput and 21,990 high-throughput interactions, from greater than 35,000 experiments. By quantitatively integrating these data, we identified 517(More)
Changes in protein subcellular localization and abundance are central to biological regulation in eukaryotic cells. Quantitative measures of protein dynamics in vivo are therefore highly useful for elucidating specific regulatory pathways. Using a combinatorial approach of yeast synthetic genetic array technology, high-content screening, and machine(More)
Protein subcellular localization has been systematically characterized in budding yeast using fluorescently tagged proteins. Based on the fluorescence microscopy images, subcellular localization of many proteins can be classified automatically using supervised machine learning approaches that have been trained to recognize predefined image classes based on(More)
MOTIVATION Quantifying variability in protein expression is a major goal of systems biology and cell-to-cell variability in subcellular localization pattern has not been systematically quantified. RESULTS We define a local measure to quantify cell-to-cell variability in high-throughput microscope images and show that it allows comparable measures of(More)
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