Method

A strategy for extracting and analyzing large-scale quantitative epistatic interaction data

Sean R Collins¹, Maya Schuldiner¹, Nevan J Krogan^2,^3,⁴ and Jonathan S Weissman¹^*

* Corresponding author: Jonathan S Weissman weissman@cmp.ucsf.edu

¹ Howard Hughes Medical Institute, Department of Cellular and Molecular Pharmacology, University of California-San Francisco and California Institute for Quantitative Biomedical Research, San Francisco, California 94143, USA

² Banting and Best Department of Medical Research, University of Toronto, College Street, Toronto, Ontario, Canada M5G 1L6

³ Department of Medical Genetics and Microbiology, University of Toronto, Kings College Circle, Toronto ON, Canada M5S 1A8

⁴ Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94143, USA

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Genome Biology 2006, 7:R63 doi:10.1186/gb-2006-7-7-r63

Published: 21 July 2006

Additional files

Additional data file 1:

Scatter plot illustrating the application of a minimum bound correction for variances.

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Additional data file 2:

Strains that were determined to be incorrect and were removed based on linkage analysis.

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Additional data file 3:

Image capturing setup used for data collection.

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Additional data file 4: