Upload DESeq2, edgeR, or limma results. GaiaLab extracts your significant genes and runs the full biomedical intelligence pipeline — pathways, drugs, hypotheses, and survival — automatically.
Accepts any CSV/TSV with gene symbols, log2 fold-change, and adjusted p-value columns. Column names are detected automatically.
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Drop your file here or click to browse
.csv · .tsv · .txt · .rnk — max 50 MB
Research use only. Not for diagnosis, treatment selection, or clinical decision-making.
Upload only differential-expression tables (gene, log2FoldChange, padj). Do not upload protected health information (PHI) or identifiable patient records.
1Extracts significant DE genes using your thresholds below (default: |log₂FC| ≥ 1.0, padj ≤ 0.05)
2Runs the full analysis pipeline on those genes — identical to submitting them on the homepage
3Returns: ranked drug candidates, KEGG/Reactome pathway enrichment, mechanistic hypotheses, evidence ledger (76+ databases), and ClinicalTrials.gov concordance for your DE signature
Typical yield: a DESeq2 result with 20,000 genes at default thresholds yields 200–500 significant DE genes; GaiaLab takes the top 50 by |log₂FC| for the pipeline.
Significant genes
Gene
log₂FC
padj
Direction
Submitting genes to GaiaLab… This takes 30–60 seconds on first run.
How it works
1
Upload results
Drop any DESeq2, edgeR, or limma output. Column names are detected automatically.
2
Filter DEGs
Set your logFC and padj thresholds. Preview the significant gene list before submitting.
3
Full analysis
GaiaLab queries 76+ biological databases — pathways, drugs, hypotheses, survival — on your DEG list.
4
RNA-seq overlay
Results include your expression direction context — upregulated vs. downregulated gene annotations.