Switzerland Omics

Technically sound. Incredibly simple.

We publish videos on measuring genetic evidence with statistical confidence, using population-scale data, Bayesian inference, and reproducible models.

This channel documents the development and real-world application of Quant by Switzerland Omics, replacing categorical labels with calibrated probabilities, credible intervals, and explicit uncertainty.

Content includes
• probabilistic variant interpretation
• genome-wide prior construction
• rare disease and immunogenetics use cases
• clinical and research inference workflows

Selected work and scope
• genomic vault infrastructure
• genome-wide calibrated priors for variant interpretation
• Quant DB, Quant Scan, and Quant Calc as a unified inference system
• validation in national cohorts and rare disease studies
• open IEI datasets via PanelAppRex

We do not optimise for hype or speed.
We optimise for correctness, clarity, and consequence.