Lynx Multi-Gene Annotations

Lynx Multi-Gene Annotations annotates and analyzes experimental genetic data to support interpretation of human phenotypes and disorders.

Key Features:

• Integrated Knowledge Base (LynxKB): LynxKB amalgamates information from over 35 public databases and private collections and includes manually curated contributions from researchers and collaborators.
• Knowledge extraction engine: A knowledge extraction engine consolidates and organizes heterogeneous genetic and annotation data within LynxKB.
• Analytical tools: Provides enrichment analysis and network-based gene prioritization to generate weighted hypotheses about molecular mechanisms underlying phenotypes or disorders.
• Programmatic access: Exposes analytical capabilities for automated, programmatic use.
• Advanced query capabilities: Supports detailed queries to extract relevant genetic information and annotations from LynxKB.

Scientific Applications:

• Hypothesis generation: Generates weighted hypotheses about molecular mechanisms that may contribute to specific human phenotypes or disorders.
• Gene prioritization: Prioritizes candidate genes for further experimental validation using network-based analyses.
• Enrichment and pathway analysis: Identifies significant biological pathways or gene sets associated with particular conditions via enrichment analysis.

Methodology:

Integration of heterogeneous data sources into the LynxKB knowledge base, followed by application of advanced algorithms and the knowledge extraction engine to perform enrichment analysis and network-based gene prioritization.