Derivation of genetic interaction networks from quantitative phenotype data

We have generalized the derivation of genetic-interaction networks from quantitative phenotype data. Familiar and unfamiliar modes of genetic interaction were identified and defined. A network was derived from agar-invasion phenotypes of mutant yeast. Mutations showed specific modes of genetic inter...

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Bibliographic Details
Published in:Genome biology 2005-01, Vol.6 (4), p.R38-R38, Article R38
Main Authors: Drees, Becky L, Thorsson, Vesteinn, Carter, Gregory W, Rives, Alexander W, Raymond, Marisa Z, Avila-Campillo, Iliana, Shannon, Paul, Galitski, Timothy
Format: Article
Language:English
Subjects:
Genes, Fungal - genetics
Genetics
Genotype
Method
Mutation - genetics
Phenotype
Saccharomyces cerevisiae - genetics
Saccharomyces cerevisiae - metabolism
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Summary:We have generalized the derivation of genetic-interaction networks from quantitative phenotype data. Familiar and unfamiliar modes of genetic interaction were identified and defined. A network was derived from agar-invasion phenotypes of mutant yeast. Mutations showed specific modes of genetic interaction with specific biological processes. Mutations formed cliques of significant mutual information in their large-scale patterns of genetic interaction. These local and global interaction patterns reflect the effects of gene perturbations on biological processes and pathways.
ISSN:1474-760X
1465-6906
1474-760X
1465-6914
DOI:10.1186/gb-2005-6-4-r38