DEG analysis
Identify differentially expressed genes and enriched pathways between phenotypes.
BiRAGAS
BiRAGAS plans and runs genomics analysis pipelines—from cohort data through differential expression, pathways, prioritization, and related modules—then surfaces results you can review and export. Built for researchers who need reproducible, agent-assisted workflows—not one-off scripts.
Capabilities below map to analysis modules in the product codebase—language taken from the real pipeline presets, not invented marketing stats.
Identify differentially expressed genes and enriched pathways between phenotypes.
Enrich and interpret pathway-level signals from ranked gene lists or expression contrasts, including GSEA-style enrichment.
Rank and prioritize genes based on biological significance and translational relevance.
Estimate cell-type proportions and cell-state signatures from bulk transcriptomic profiles.
Retrieve and harmonize biological data from public and private sources into analysis-ready cohorts.
Directed interaction reasoning (SIGNOR-style), GWAS association, and Mendelian-randomization-oriented workflows where configured.
Single-cell RNA-seq workflows: clustering, cell types, markers, and states.
Analyze expression perturbations using DepMap, L1000, and related integrated datasets.
A simple path from data to interpretable outputs—aligned with how the platform’s analysis graph actually runs.
Upload study data or retrieve and harmonize cohorts from supported sources so analyses start from consistent inputs.
The agentic workflow plans multi-step pipelines—DEG, pathways, prioritization, deconvolution, and related modules—then executes them as configured runs.
Inspect outputs, figures, and reports in the product workspace, then iterate on the next question without leaving the platform.
Sign in to the BiRAGAS application to start an analysis. The product app lives at app.biragas.com—separate from this marketing site.
Go to app.biragas.com