The reality
You know the science. The tools haven't caught up.
Discoveries are locked behind broken pipelines and debugging sessions. Personalized medicine can't afford to wait.
001
The Rare Combination
Genetic insights require programming, statistics, and biology all at once. Being that person is often lonely — no code reviews, no one to debug with.
002
Months, Not Minutes
Broken dependencies. Deprecated packages. Documentation three versions behind. You spend more time debugging than discovering.
003
Insights Stay Locked
The questions are clear. The data is there. But without the right tools, the answers stay buried. Personalized medicine can’t wait.
Grounded agentic AI for genomics
Your science. Without the bottleneck.
From cohort stratification to publication-ready figures. No pipelines required.
Literature & Research Review
A second pair of eyes before peer review gets there first.
Pressure-test your reasoning against the published record.
Bring Bystro a draft, a bibliography, or a half-formed hypothesis. It checks whether your sources hold up, surfaces papers you may have missed, and flags where the evidence gets thin. The conclusions stay yours.
- Check whether cited sources actually support the claims they are attached to
- Find relevant literature that strengthens or complicates your argument
- Spot gaps in methodology or evidence coverage before a reviewer does
- Ask open research questions grounded in what has actually been published
Bioinformatics Without the Pipeline
Vibe Coding for Bioinformatics
Describe it. Generate it. Publish it.
Tell the platform what you want to see in plain language. Get publication-ready volcano plots, differential expression analysis, and statistically corrected visualizations in minutes, not months.
- Describe your analysis in natural language
- Auto-generated figures with proper statistical corrections applied
- Export-ready for journals and presentations
Clinical Trial Design
Patient Stratification
Identify genetic subtypes. Flag non-responders early.
Identify genetic subtypes within your cohort and flag individuals unlikely to respond to specific treatments. Design smarter trials by stratifying patients before enrollment.
- Discover genetic subtypes within disease cohorts
- Predict non-responders before treatment begins
- Optimize inclusion criteria for more targeted trials
Literature Synthesis
Map what is known before you design anything.
Pull the full landscape from the published record. No upload required.
Ask about a drug target, variant, pathway, or research question. Bystro pulls from ClinVar, gnomAD, OMIM, and the published literature simultaneously and synthesizes a picture of the current evidence.
- Cross-reference ClinVar, gnomAD, OMIM, and literature in a single query
- Identify what is well-established versus still contested in the field
- Generate a grounded starting point for grant writing or protocol design
Research Use Only — For research, educational, and informational purposes.
Not intended for medical diagnosis, treatment, or clinical use.