τ-SGA: synthetic genetic array analysis for systematically screening and quantifying trigenic interactions in yeast

Elena Kuzmin, Mahfuzur Rahman, Benjamin VanderSluis, Michael Costanzo, Chad L. Myers, Brenda J. Andrews, Charles Boone

Published: 2021-01-17 DOI: 10.1038/s41596-020-00456-3

trigenic interactions

synthetic genetic array

yeast

high-throughput screening

MATLAB pipelines

AI 解读

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Systematic complex genetic interaction studies have provided insight into high-order functional redundancies and genetic network wiring of the cell. Here, we describe a method for screening and quantifying trigenic interactions from ordered arrays of yeas
Introduction
Materials
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Anticipated results
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ACKNOWLEDGMENTS

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τ-SGA: synthetic genetic array analysis for systematically screening and quantifying trigenic interactions in yeast

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