Zodiac

Zodiac integrates prior genetic-interaction graphs with multimodal TCGA genomic measurements to infer and update gene–gene interaction networks in cancer using a Bayesian graphical model.

Key Features:

• Integration of prior knowledge and TCGA data: Prior genetic-interaction knowledge is treated as a foundational graph and integrated with multimodal measurements from The Cancer Genome Atlas (TCGA) via a Bayesian graphical model to produce an updated posterior interaction map.
• Comprehensive interaction database: Molecular interactions for approximately 200 million gene pairs are generated from large-scale analyses and organized into a comprehensive database.
• Customization and analysis capabilities: The system provides tools to tailor prior networks and update genetic pathways to enable customized, data-driven analyses.

Scientific Applications:

• Identification of novel genetic interactions: Enables discovery of previously unrecognized gene–gene interactions that may contribute to cancer development and progression.
• Transcriptional regulation studies: Facilitates analysis of regulatory relationships among genes by revealing interaction patterns from integrated data.
• Pathway analysis and updates: Supports refinement and updating of genetic pathways based on integrated, posterior interaction maps.

Methodology:

Zodiac treats prior knowledge as a foundational graph and integrates multimodal TCGA measurements using a Bayesian graphical model to generate a posterior interaction map encompassing approximately 200 million gene pairs from large-scale analyses.