Molecular AOP Analyser
Upload a gene expression dataset (CSV, TSV, or TXT) to analyse it against molecular Adverse Outcome Pathways. The tool will guide you through choosing the right columns, visualising gene expression with a volcano plot, and running KE enrichment against a selected AOP.
New here? Try a curated demo dataset first to see how the tool works.
Upload Your Own Data
Experiment Information (Optional)
Providing experiment details helps generate comprehensive reports and enables better data organization.
Batch Analysis
Upload 2–10 gene expression files, tag each with condition metadata, and run enrichment analysis with a harmonised gene background across all files.
1. Upload Files
Upload 2–10 gene expression files (CSV, TSV, or TXT). All files must share the same column layout.
Drag files here or click to select
CSV, TSV, TXT — max 10 files, 10 MB each
2. Tag Conditions
Assign a condition label to each file. Dose and timepoint are optional but help with downstream comparison.
Specify the columns shared across all files. These will be detected automatically from the first file.
3. Analysis Settings
Batch Information
AOP Selection
Select the Adverse Outcome Pathway to use for all conditions in this batch.
Log2FC Threshold
Minimum absolute log2 fold change for a gene to be considered significant. Applied equally to all conditions.