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Yeast Systems Biology pp 73–85Cite as

Ultrahigh-Density Screens for Genome-Wide Yeast EMAPs in a Single Plate

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Part of the book series: Methods in Molecular Biology ((MIMB,volume 2049))

Abstract

Systematic measurements of genetic interactions have been used to classify gene functions and to categorize genes into protein complexes, functional pathways and biological processes. This protocol describes how to perform a high-throughput genetic interaction screen in S. cerevisiae using a variant of epistatic miniarray profiles (E-MAP) in which the fitnesses of 6144 colonies are measured simultaneously. We also describe the computational methods to analyze the resulting data.

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Acknowledgments

This work was supported by NIH grants L30 CA171000 to J.P.S. and R01 GM084279, R01 ES014811, and U54 CA209891 to T.I.

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Authors and Affiliations

  1. Department of Medicine, UC San Diego, La Jolla, CA, USA

    Katherine Licon, John Paul Shen, Brenton P. Munson, Manuel Michaca, Cole Fassino, Luke Fassino, Jason F. Kreisberg & Trey Ideker

  2. Department of Bioengineering, UC San Diego, La Jolla, CA, USA

    Brenton P. Munson & Trey Ideker

Authors
  1. Katherine Licon
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  2. John Paul Shen
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  3. Brenton P. Munson
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  4. Manuel Michaca
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  5. Cole Fassino
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  6. Luke Fassino
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  7. Jason F. Kreisberg
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  8. Trey Ideker
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Corresponding author

Correspondence to Trey Ideker .

Editor information

Editors and Affiliations

  1. Department of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK

    Stephen G. Oliver

  2. Genetadi Biotech, Parque Tecnológico de Bizkaia, Biscay, Spain

    Juan I. Castrillo

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Licon, K. et al. (2019). Ultrahigh-Density Screens for Genome-Wide Yeast EMAPs in a Single Plate. In: Oliver, S.G., Castrillo, J.I. (eds) Yeast Systems Biology. Methods in Molecular Biology, vol 2049. Humana, New York, NY. https://doi.org/10.1007/978-1-4939-9736-7_4

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  • DOI: https://doi.org/10.1007/978-1-4939-9736-7_4

  • Published:

  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-4939-9735-0

  • Online ISBN: 978-1-4939-9736-7

  • eBook Packages: Springer Protocols

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