G2G

G2G predicts genetic interactions in human genomes by leveraging hierarchical Gene Ontology (GO) annotations to infer genotype-to-phenotype relationships.

Key Features:

• Genetic interaction prediction: Predicts genetic interactions (GIs) in humans using GO-based information.
• Hierarchical GO utilization: Leverages structured, hierarchical Gene Ontology terms to capture functional relationships.
• Genotype-to-phenotype inference: Facilitates genotype-to-phenotype predictions from GO annotations.
• Functional annotation mapping: Maps GO functional annotations across genes to identify shared or related biological roles.
• Interaction inference: Infers potential interactions between genes based on shared or related GO terms.
• Cross-species adaptation: Adapts a method originally applied in yeast for systematic GI mapping to human genetics.

Scientific Applications:

• Human GI mapping: Addresses gaps in systematic genetic interaction mapping within human biology compared to model organisms like yeast.
• Cellular process analysis: Reveals how genes interact to affect cellular biological processes under various conditions.
• Genetic network and disease insights: Supports analysis of genetic networks and their implications for biological processes and diseases.

Methodology:

Leverages hierarchical Gene Ontology data and structured GO terms to map functional annotations across genes and integrate these annotations to infer genotype-to-phenotype relationships and potential genetic interactions based on shared or related biological roles.