CHS7
Gene Ontology Biological Process
Gene Ontology Molecular Function
Gene Ontology Cellular Component
CDC1
Gene Ontology Biological Process
Gene Ontology Cellular Component
Negative Genetic
Mutations/deletions in separate genes, each of which alone causes a minimal phenotype, but when combined in the same cell results in a more severe fitness defect or lethality under a given condition. This term is reserved for high or low throughput studies with scores.
Publication
Systematic analysis of complex genetic interactions.
To systematically explore complex genetic interactions, we constructed ~200,000 yeast triple mutants and scored negative trigenic interactions. We selected double-mutant query genes across a broad spectrum of biological processes, spanning a range of quantitative features of the global digenic interaction network and tested for a genetic interaction with a third mutation. Trigenic interactions often occurred among functionally related genes, and ... [more]
Quantitative Score
- -0.174718 [Confidence Score]
Throughput
- High Throughput
Ontology Terms
- phenotype: colony size (APO:0000063)
Additional Notes
- Digenic interaction: Query allele name: chs7-delta+ho-delta; Array allele name: cdc1-1 (GI score = -0.136861, p-value = 0.0476; Digenic)
- Digenic interactions in this Synthetic genetic array (SGA) analysis were considered to be significant when epsilon > 0.08 and p < 0.05 (positive genetic interaction) and when epsilon < -0.08 and p < 0.05 (negative genetic interaction).
- Trigenic interaction: Query allele name: chs7-delta+prr1-delta; Array allele name: cdc1-1 (GI score = -0.174718, p-value = 4.20E-8; Modified_A-)
- Trigenic negative genetic interactions in this triple mutant Synthetic genetic array (SGA) analysis were considered to be significant when tau < -0.08 and p < 0.05.
Related interactions
Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
---|---|---|---|---|---|---|
CHS7 CDC1 | Negative Genetic Negative Genetic Mutations/deletions in separate genes, each of which alone causes a minimal phenotype, but when combined in the same cell results in a more severe fitness defect or lethality under a given condition. This term is reserved for high or low throughput studies with scores. | High | -0.1831 | BioGRID | 2048035 |
Curated By
- BioGRID