Publication Date:
2015-03-18
Description:
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 variability for proteins with diverse subcellular localizations. We systematically estimate cell-to-cell variability in the yeast GFP collection and identify examples of proteins that show cell-to-cell variability in their subcellular localization. Conclusions: Automated image analysis methods can be used to quantify cell-to-cell variability in microscope images. Contact: alan.moses@utoronto.ca Availability and Implementation: Software and data are available at http://www.moseslab.csb.utoronto.ca/louis-f/ Supplementary information: Supplementary data are available at Bioinformatics online.
Print ISSN:
1367-4803
Electronic ISSN:
1460-2059
Topics:
Biology
,
Computer Science
,
Medicine
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