OmniGate

I built OmniGate, a tool that answers questions about real single-cell perturbation data in plain English, and shows its work. "Analyze" takes a question, writes the analysis in Python, runs it in a sandbox against the actual cells, and returns the figure, the statistics, and the exact code that produced them. "Predict" covers experiments nobody has run: it finds the closest perturbations that were measured, blends their real signatures into an estimate, then audits itself by hiding each known perturbation, predicting it blind, and scoring the result against the truth it withheld. Why it matters is because single-cell analysis is locked behind knowing scanpy, and most tools that unlock it for non-specialists do so by letting a language model narrate plausible-sounding results. OmniGate never lets the model produce a number. The model writes code, the sandbox runs it, and the answer is whatever the data says.

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