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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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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
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cited_by cdi_FETCH-LOGICAL-b557t-b7da85b595c748c5e7e942eda599c5d96353d0d309b48468012d4da195cea0b63
cites cdi_FETCH-LOGICAL-b557t-b7da85b595c748c5e7e942eda599c5d96353d0d309b48468012d4da195cea0b63
container_end_page R38
container_issue 4
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container_title Genome biology
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creator Drees, Becky L
Thorsson, Vesteinn
Carter, Gregory W
Rives, Alexander W
Raymond, Marisa Z
Avila-Campillo, Iliana
Shannon, Paul
Galitski, Timothy
description 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.
doi_str_mv 10.1186/gb-2005-6-4-r38
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1474-760X
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source PubMed (Medline)
subjects Genes, Fungal - genetics
Genetics
Genotype
Method
Mutation - genetics
Phenotype
Saccharomyces cerevisiae - genetics
Saccharomyces cerevisiae - metabolism
title Derivation of genetic interaction networks from quantitative phenotype data
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