GeneWeaver: finding consilience in heterogeneous cross-species functional genomics data

Area of Science:

• Genomics
• Bioinformatics
• Systems Biology

Background:

• Interpreting functional genomics data presents challenges due to consensus and discord.
• Integrating diverse data sources is crucial for understanding gene-disease relationships.
• Existing platforms lack comprehensive cross-species functional genomics data integration.

Purpose of the Study:

• To present GeneWeaver.org as a platform for cross-species integration and interrogation of functional genomics data.
• To enable researchers to store, share, analyze, and compare experimental results with curated data.
• To facilitate the discovery of gene-disease relationships and biological substrates.

Main Methods:

• GeneWeaver.org integrates heterogeneous curated and experimental functional genomics data.
• Data is mapped across species using gene identifiers and homology.
• Interactive tools facilitate set analysis operations for identifying consilience in experimental results.

Main Results:

• The system supports storage, sharing, analysis, and comparison of genome-wide functional genomics experiments.
• It incorporates data from major repositories like the Mouse Genome Database and specialized resources.
• Fast algorithms enable real-time analysis of large datasets for applications like gene prioritization and disease modeling.

Conclusions:

• GeneWeaver.org provides a unified environment for functional genomics data analysis.
• It enables novel applications in disease research, gene discovery, and experimental classification.
• The platform offers an alternative approach to replicability by classifying experimental results based on similarity.