Understand what controls a gene — and what to do next.
Darwin is an AI research agent for gene regulation.
Explore regulatory networks, trace biological mechanisms, compare species, evaluate evidence, predict perturbations, and develop experimental hypotheses from a single biological question.
Ask → Investigate → Connect → Predict → Test
A research flow that moves from question to experiment.
Ask
Start with a gene, phenotype, pathway, or biological question.
Investigate
Darwin selects and runs the appropriate regulatory, expression, sequence, pathway, and evidence analyses.
Connect
Trace relationships across genes, regulatory mechanisms, biological processes, and species.
Predict
Explore candidate regulators and the likely consequences of perturbing them.
Test
Turn the strongest hypotheses into candidate experiments.
One workspace. From biological question to experimental hypothesis.
Capabilities built around how researchers actually work.
Discover regulators
Explore TF → target relationships across species.
Evaluate evidence
Combine regulatory sources, expression, motifs, pathways, and literature.
Compare across species
Follow conserved relationships and orthologs.
Predict interventions
Model what happens when regulators are activated or suppressed.
Design experiments
Move from hypothesis to RNAi/dsRNA design workflows.
Prioritize experiments
Rank candidates and produce collaborator-ready outputs.
Built for researchers, not just bioinformaticians.
Every result traces back to its source. Darwin keeps curated and inferred evidence distinct, tracks provenance across regulatory sources, expression data, motifs, pathways, and literature, and builds on the GRN Atlas data layer — a growing multi-species gene regulatory network resource.
Darwin helps researchers spend less time assembling biological evidence and more time deciding what experiment to run next.