Assess Target Rationale
Bring together variant–disease associations, GWAS findings, and Mendelian gene–disease validity to evaluate the human-genetics case for a target.
Self-Hosted · AI-Powered
Your AI copilot for RNA-seq analysis and genetics-driven target assessment. Ask questions in plain English to turn complex evidence into decision-ready insight — without building a large bioinformatics team.
No scripting. No command-line tools. Ask Agent Mendel about your RNA-seq data or a target–disease hypothesis.
For RNA-seq workflows, every conversation can deliver a complete analysis bundle.
| Output | Format | Description |
|---|---|---|
| Differential Expression | TSV | LIMMA results — log2FC, p-values, adjusted p-values per gene |
| Pathway Enrichment | TSV | GSEApy over-representation & GSEA enrichment scores |
| AI Interpretation Report | HTML | LLM-generated biological interpretation — key findings, gene functions, pathway summaries, literature context |
| Chat Transcript | HTML | Full interactive session with questions, answers, and generated figures |
| Volcano Plot | PNG | Publication-ready volcano plot highlighting significant DE genes |
| Box Plot | PNG | Expression distribution box plots per condition for selected genes |
| Violin Plot | PNG | Expression distribution violin plots per condition for selected genes |
| Heatmap | PNG | Expression heatmap for top DE genes across conditions |
Move from scattered evidence to a decision-ready view of target rationale, program risk, and the next validation step — without waiting on a large in-house bioinformatics function.
Bring together variant–disease associations, GWAS findings, and Mendelian gene–disease validity to evaluate the human-genetics case for a target.
Distinguish a disease-associated locus from evidence that supports the target gene itself, so teams can make decisions with the right level of confidence.
Use literature, pathways, and tissue context to shape mechanistic hypotheses and next experiments; add public GEO cohort-expression validation when it is relevant.
Primary human-genetics evidence includes ClinVar, GWAS, Mendelian validity, and causal locus-to-gene assessment. Supporting biology includes tissue context, pathways, and literature. Optional public GEO cohort-expression findings are reported separately, so they are never presented as genetics evidence.
Each assessment retains source provenance, identifies evidence gaps, and surfaces conflicting or uncertain findings rather than flattening them into a single claim.
Agent Mendel connects to GEO and SRA, giving you access to >400,000 samples across >20,000 datasets.
Search by condition, tissue, or gene in plain English. Integrate public data with your own for cross-study validation and benchmark your results against published findings.
Full data privacy with self-hosted open-weight models, or connect to a cloud LLM of your choice.
Downloadable application + first time setup support available upon purchase.
Request access for RNA-seq analysis and genetics-driven target assessment. Deploy self-hosted or connect your LLM.
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