title: Derivation of genetic interaction networks from quantitative phenotype data.
abstract: 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.
authors.affiliation: Institute for Systems Biology, 1441 N, 34th Street, Seattle, WA 98103, USA. bdrees@u.washington.edu
authors.forename: Becky L
authors.initials: BL
authors.lastname: Drees
authors.forename: Vesteinn
authors.initials: V
authors.lastname: Thorsson
authors.forename: Gregory W
authors.initials: GW
authors.lastname: Carter
authors.forename: Alexander W
authors.initials: AW
authors.lastname: Rives
authors.forename: Marisa Z
authors.initials: MZ
authors.lastname: Raymond
authors.forename: Iliana
authors.initials: I
authors.lastname: Avila-Campillo
authors.forename: Paul
authors.initials: P
authors.lastname: Shannon
authors.forename: Timothy
authors.initials: T
authors.lastname: Galitski
mesh_terms: D005800:Genes, Fungal / Q000235:genetics; D005823:Genetics; D005838:Genotype; D009154:Mutation / Q000235:genetics*; D010641:Phenotype; D012441:Saccharomyces cerevisiae / Q000235:genetics* / Q000378:metabolism*