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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Autores principales: Drees, Becky L, Thorsson, Vesteinn, Carter, Gregory W, Rives, Alexander W, Raymond, Marisa Z, Avila-Campillo, Iliana, Shannon, Paul, Galitski, Timothy
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1088966/
https://www.ncbi.nlm.nih.gov/pubmed/15833125
http://dx.doi.org/10.1186/gb-2005-6-4-r38
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author Drees, Becky L
Thorsson, Vesteinn
Carter, Gregory W
Rives, Alexander W
Raymond, Marisa Z
Avila-Campillo, Iliana
Shannon, Paul
Galitski, Timothy
author_facet Drees, Becky L
Thorsson, Vesteinn
Carter, Gregory W
Rives, Alexander W
Raymond, Marisa Z
Avila-Campillo, Iliana
Shannon, Paul
Galitski, Timothy
author_sort Drees, Becky L
collection PubMed
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.
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spelling pubmed-10889662005-05-05 Derivation of genetic interaction networks from quantitative phenotype data Drees, Becky L Thorsson, Vesteinn Carter, Gregory W Rives, Alexander W Raymond, Marisa Z Avila-Campillo, Iliana Shannon, Paul Galitski, Timothy Genome Biol Method 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. BioMed Central 2005 2005-03-31 /pmc/articles/PMC1088966/ /pubmed/15833125 http://dx.doi.org/10.1186/gb-2005-6-4-r38 Text en Copyright © 2005 Drees et al.; licensee BioMed Central Ltd.
spellingShingle Method
Drees, Becky L
Thorsson, Vesteinn
Carter, Gregory W
Rives, Alexander W
Raymond, Marisa Z
Avila-Campillo, Iliana
Shannon, Paul
Galitski, Timothy
Derivation of genetic interaction networks from quantitative phenotype data
title Derivation of genetic interaction networks from quantitative phenotype data
title_full Derivation of genetic interaction networks from quantitative phenotype data
title_fullStr Derivation of genetic interaction networks from quantitative phenotype data
title_full_unstemmed Derivation of genetic interaction networks from quantitative phenotype data
title_short Derivation of genetic interaction networks from quantitative phenotype data
title_sort derivation of genetic interaction networks from quantitative phenotype data
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1088966/
https://www.ncbi.nlm.nih.gov/pubmed/15833125
http://dx.doi.org/10.1186/gb-2005-6-4-r38
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