SRGnet

SRGnet analyzes synergistic regulatory mechanisms in transcriptome profiles to identify regulatory modules and prioritize synergistic regulatory genes that mediate cellular responses to combinations of mutations, drugs, or environmental exposures.

Key Features:

• Synergistic Regulatory Analysis: Identifies regulatory modules downstream of synergistic response genes to characterize interactions that amplify cellular responses under specific conditions.
• Gene Prioritization: Ranks synergistic regulatory genes as candidate intervention targets within complex regulatory networks.
• Contextualization of Experiments: Contextualizes gene perturbation experiments within broader cellular response mechanisms to elucidate downstream regulatory effects.

Scientific Applications:

• Drug Development and Combination Therapies: Identifies synergistic regulatory genes to inform development of combination therapies that may outperform single-agent treatments.
• Genetic Research: Dissects interactions among mutations that produce enhanced or altered cellular responses.
• Environmental Biology: Analyzes the impact of environmental exposures on gene expression and complex regulatory interactions.

Methodology:

Implemented in R within the Bioconductor ecosystem, SRGnet leverages interoperable Bioconductor packages that undergo formal initial review and continuous automated testing to process high-throughput transcriptomic and genomic data.