GeneNetwork

GeneNetwork facilitates systems genetics and quantitative trait locus (QTL) analysis by integrating multi-omics datasets across 10 species to support identification and prioritization of candidate genes.

Key Features:

• Multi-species multi-omics integration: Integrates data from 10 species and supports multi-omics analysis to enable cross-species genetic comparisons.
• QTL visualization with additive values: Displays additive values on trait QTL maps, typically represented as red or green lines, to aid interpretation of QTL effects.
• Candidate gene prioritization: Provides analytical capabilities to narrow down plausible candidate genes for quantitative traits, including immune phenotypes.
• Systems genetics and quantitative trait analyses: Supports systems genetics and quantitative trait genetics workflows such as QTL mapping and trait association analyses.
• Support for predictive medicine research: Enables identification of genetic factors influencing complex phenotypes relevant to predictive medicine.

Scientific Applications:

• QTL mapping and interpretation: Visualization and analysis of quantitative trait loci to interpret genetic effects on traits.
• Candidate gene discovery: Prioritization of genes underlying complex traits, including immune-related phenotypes.
• Cross-species and multi-omics integration: Comparative analyses across 10 species using multi-omics data to study complex genetic interactions.
• Systems genetics and predictive medicine studies: Investigation of genetic networks and factors that contribute to complex phenotypes and disease risk.

Methodology:

Integration of multi-omics datasets across 10 species, visualization of additive values on trait QTL maps (red/green lines), and analytical procedures to narrow plausible candidate genes.