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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Detalles Bibliográficos
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
Descripción
Sumario: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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