For the technically curious: here's how Bio-Scry runs whole-genome pipelines on an iPhone, with nothing offloaded to a server.
A full scientific stack — an embedded Python runtime, native compute, and Metal GPU kernels — executes locally. Nothing is offloaded to a server, and no code is downloaded at runtime; all logic ships in the app.
The heaviest steps — including the neural-field assembler — run on the phone's GPU via Apple's Metal, so full pipelines complete in reasonable time on-device.
The pipelines are engineered to stay within a phone's memory budget, so full genomes assemble on-device without crashing.
Reference databases carry version manifests, and results record the exact versions used — so a run is reproducible and citable.
A track-based genome browser renders GC content, read depth, variants, restriction sites and the raw sequence — all computed and drawn on the device, offline.