DRYGin

DRYGin curates a repository of genome-wide quantitative yeast genetic interactions derived from Synthetic Genetic Array (SGA) data to support analysis of gene–function relationships.

Key Features:

• SGA-derived quantitative interactions: Contains genome-wide measurements of quantitative genetic interactions obtained from Synthetic Genetic Array (SGA) experiments.
• Data integration — pathways: Links genetic interaction data to pathway information to provide functional context.
• Data integration — protein complexes: Associates interaction data with protein complex membership to aid interpretation of molecular assemblies.
• Data integration — binary genetic and physical interactions: Integrates other binary genetic and physical interaction datasets to expand network connectivity.
• Gene Ontology (GO) annotations: Maps Gene Ontology functional annotations to genes within the interaction dataset.
• Dataset scale: Stores over 5.4 million measurements of genetic interacting pairs covering approximately 4,500 genes.
• Analysis and visualization: Supports analysis and visualization of yeast genetic networks.

Scientific Applications:

• Pathway elucidation: Enables exploration of pathway relationships by linking genetic interactions to pathway annotations.
• Functional genomics: Facilitates large-scale functional assignment and gene-function discovery using quantitative interaction profiles.
• Network analysis: Supports analysis of genetic interaction networks to identify modules, hubs, and interaction patterns.
• Gene control of cellular processes: Aids investigation of how gene–gene interactions influence cellular functions in yeast.

Methodology:

Aggregates Synthetic Genetic Array (SGA) interaction data and integrates it with pathway information, protein complex membership, other binary genetic and physical interaction datasets, and Gene Ontology (GO) functional annotations; contains over 5.4 million pairwise interaction measurements involving approximately 4,500 genes.