The problem
Choosing a sequencing strategy before defining target breadth, sensitivity, sample context, and validation needs can leave the project with avoidable workflow or cost constraints.
Science systems / 2026
NGS Assay Planner
Compare NGS strategies by target scope, sensitivity, workflow, cost, risk, and validation burden.
My role
Assay-planning rules, scientific inputs, browser interface, and report generation.
What I built
- NGS strategy comparison
- Planning report with assumptions and tradeoffs
- Risk flags and validation considerations
The result
A runnable browser planner that compares sequencing approaches from structured project requirements.
Statusprototype
Evidencerunnable
Record reviewed
Implementation
How it works
Enter structured project requirements. A deterministic TypeScript rules engine compares amplicon, hybrid-capture, exome, whole-genome, and metagenomic strategies, then assembles tradeoffs, risk flags, and validation considerations into a planning report.
Technical context and methods
The browser implementation mirrors a Python reference and uses static example scenarios, cost tiers, and vendor examples. Recommendations are planning aids that require expert review.
- TypeScript
- Deterministic rules
- Typed planning models
- Validation requirements in reports
- Scientific UX