What teams do with Operon.
Each example follows one question from first lookup to a result your team can stand behind: grounded in curated knowledge graphs, with a decision record behind it.
Talk to UsChoosing live-biotherapeutic candidates
For microbiome therapeutics teams.
“Which commensal genera are depleted in this disease, what do they produce, and which are worth taking forward?”
- —A ranked shortlist with the evidence behind each candidate
- —The open questions worth an experiment
- —Which graph facts and papers each ranking rests on
- —Who approved the shortlist, and when
Explaining a microbiome signal
For translational and discovery scientists.
“Our cohort shows this genus dropping. What could the mechanism be?”
- —Two or three mechanistic hypotheses, ranked by evidence
- —The experiment that would tell them apart
- —Every path, and the source of each link in it
- —Which hypotheses were kept, and which were set aside
Putting your own study in context
For teams with their own 16S or metabolomics data.
“Where do our results agree with the published evidence, and where do they not?”
- —A map of agreements, conflicts and findings that look new
- —Your data linked to the published evidence, and kept private in your deployment
- —Which of your files, steps and parameters produced each finding
- —What was compared, and against which version of the graph
A go/no-go your leadership can audit
For r&D leads and portfolio committees.
“Should we move this indication forward, and can we show why later?”
- —A one-page evidence summary
- —Designed to keep the decision and its evidence together
- —Designed to show what was known when the decision was made, who decided, and what has changed since
Reproducing an analysis for a partner or regulator
For teams handing results to a partner, a diligence team or a regulator.
“Can someone outside our team check how this result was produced?”
- —A record of how the result was produced, run by run
- —An export designed to be checked independently, with an open verifier
- —The pipeline, its version, who ran it and what it produced
- —Which tasks completed, which failed, and the compute they used
Running a partner's method without seeing inside it
For method owners licensing a method, and the teams that want to use it.
“Can we use their method on our data without either side exposing what it holds?”
Operon is designed to run partner methods this way. This part is being built now.
- —Results from the method, on your data
- —Designed to give both parties a usage record they can see
- —Which method version ran, on what, and when
- —Designed to show this without revealing the method's contents
Bring your question. We'll show you how Operon would work it through.