Modular epistasis in yeast metabolism

By Daniel Segrè, A. DeLuna, George M. Church, Roy Kishony. Nature Genetics, 2005

607 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/0687b9f64992928e13bc3bfbec754db390e8de90

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Citations in the corpus

Traversing the conceptual divide between biological and statistical epistasis: systems biology and a more modern synthesis. (2005, background): “A recent study by Segrè et al.((75)) gives us a taste of what systems-level genetics has to offer.”
A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility. (2006, background): “This is evident in recent systems-level studies of epistasis in yeast (e.g. Segre et al., 2005).”
Should evolutionary geneticists worry about higher-order epistasis? (2013, background): “For example, data on pairwise epistasis between gene deletions have provided insight into metabolic networks in yeast [8 ,9,10] and E.”
Graph theory and networks in Biology. (2006, methodology): “coli and in [56] to construct an network of epistatic interactions for S.”
Genome-wide strategies for detecting multiple loci that influence complex diseases (2005, background): “, but increasing empirical evidence from model organism”
A strategy for extracting and analyzing large-scale quantitative epistatic interaction data (2006, neutral): “We present here several examples of such techniques, although many more are possible [10,20,21].”
Exploring genetic interactions and networks with yeast (2007, background): “In a theoretical analysis, Segre and colleagues examined the predicted fitness of a double mutant under a multiplicative model and showed that, in addition to aggravating (antagonistic) synthetic effects, alleviating (buffering) interactions that ameliorate the effects of a mutation in double-mutant”
Life is Physics: Evolution as a Collective Phenomenon Far From Equilibrium (2010, background): “For example, phenotypic variance is generally thought to be the result of many-gene interactions[67], as documented in a tour de force analysis of the yeast metabolic network, for example[68].”
Epistasis—the essential role of gene interactions in the structure and evolution of genetic systems (2008, background): “but, because they are based on a growth versus no growth criterion, they are largely qualitativ”
Exploration of the function and organization of the yeast early secretory pathway through an epistatic miniarray profile. (2005, background): “…would be to directly measure the growth rate of each single and double mutant and assume, as is typically done, that in the absence of an interaction the growth defect of a double mutant will be the product of the growth defects of the two single mutants (Phillips et al., 2000; Segre et al., 2005).”