Nature Genetics
37, 77 - 83 (2004)
Published online: 12 December 2004; | doi:10.1038/ng1489
Modular epistasis in yeast metabolismDaniel Segrè, Alexander DeLuna, George M Church
& Roy KishonySupplementary Fig. 1 (pdf 36K)
The epistasis scale captures the strength of the epistasis effect relative to natural extreme values. Supplementary Fig. 2 (pdf 60K)
Analysis of the effects of double deletions of metabolic enzyme genes in simple metabolic networks demonstrating examples of multiplicative, aggravating and buffering gene deletion interactions. Supplementary Fig. 3 (pdf 108K)
Sensitivity analysis with respect to free parameters and physiological conditions. Supplementary Fig. 4 (pdf 92K)
Sub-classification of buffering interactions into directional and non-directional links is related to the underlying biochemical network. Supplementary Fig. 5 (pdf 40K)
Changes in monochromatically interacting epistasis modules following variation of oxygen uptake rate. Supplementary Fig. 6 (pdf 36K)
Examples of monochromatic clustering of three toy networks using the Prism algorithm. Supplementary Fig. 7 (pdf 40K)
Randomization algorithms and statistical tests for monochromaticity in the epistasis network. Supplementary Table 1 (pdf 96K)
List of free parameters. Supplementary Methods (pdf 60K)
The yeast flux balance model. Supplementary Note (pdf 48K)
Discussion of Prism modules and predicted interactions. Supplementary Video 1 (avi 2M)
Schematic demonstration of monochromatic classification. A network of two types of connections, such as buffering (green) and aggravating (red) epistasis, is sorted into module of genes that interact with one another in a purely monochromatic way.
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