TOXsIgN

TOXsIgN catalogs toxicogenomic signatures and enables their comparison and analysis to support toxicogenomics and predictive toxicology research.

Key Features:

• Cross-Species Resource: Facilitates cross-species comparisons of toxicogenomic signatures to analyze chemical effects across biological models.
• Heterogeneous Data Archiving: Archives lists of genes from transcriptomics, proteomics, and epigenomics experiments, including overexpressed and underexpressed genes.
• Data Deposition and Content: Hosts 754 projects covering more than 450 distinct chemicals and 8,491 signatures.
• Advanced Search and Analysis Tools: Provides a search engine and bioinformatics/biostatistics modules for signature comparisons and enrichment analyses.
• Cross-Technology Comparisons: Enables comparison of signatures across different experimental technologies.
• Implementation Technologies: Implemented using Python, JavaScript, and MongoDB.

Scientific Applications:

• Reproducibility and Transparency: Centralizes interpreted toxicogenomic signatures from publications to improve reproducibility and transparency in toxicological research.
• Predictive Toxicology: Supports identification of potential toxic effects through cross-species and cross-technology signature comparisons.
• Comparative Toxicogenomics: Facilitates comparative analyses across chemicals and biological models to study mechanisms of toxicity.

Methodology:

Employs a search engine and bioinformatics/biostatistics modules for signature comparisons and enrichment analyses, archives gene lists from transcriptomics, proteomics, and epigenomics, and is implemented with Python, JavaScript, and MongoDB.