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

Sean R Collins¹ , Maya Schuldiner¹ , Nevan J Krogan²^,3^,4 and Jonathan S Weissman¹

¹Howard 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

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

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

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

author email corresponding author email

Genome Biology 2006, 7:R63doi:10.1186/gb-2006-7-7-r63


Published:	21 July 2006

Subject areas: Methods, Genetics, Model organisms, Bioinformatics

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: