smooth-app
전 세계 식품의 성분·영양·정보를 자유롭게 협업하고 공개하는 데이터베이스
Personal genomics analysis platform for 23andMe raw data
저장소 README에서 가져옴
README 전체를 불러오는 중입니다.
README 전문 보기 ↗Privacy-first personal-genomics analysis platform — it runs entirely on your own machine.
Upload the raw data file from a consumer genotyping service (23andMe or AncestryDNA),
and Yeliztli annotates your variants against public clinical and population databases and
organises the results into focused analysis modules — pharmacogenomics, ancestry, carrier
status, hereditary-risk panels, wellness traits, and more. Your genome never leaves your
computer: Yeliztli runs on localhost with no cloud processing and no outbound variant
data — your genotypes are never uploaded. (It does make a few non-genomic connections by
default, such as an app-version check; see Privacy & data handling for the
full accounting.)
[!WARNING] Not medical advice. Yeliztli is for research and educational use only. It analyses consumer genotyping-array data, which is not a clinical-grade test — results are not diagnostic and not clinically validated. Don't make medical decisions based on them. See Intended use & disclaimers.
Full documentation site: https://bioedca.github.io/Yeliztli/
git clone https://github.com/bioedca/Yeliztli.git
cd Yeliztli
pip install -e ".[dev]"
cd frontend && npm install && cd ..
make dev
Open http://localhost:5173 — the setup wizard guides you through first-run configuration. For native services, Docker, and WSL2, see the install guide.
Contributions are welcome. See CONTRIBUTING.md for the workflow, the Code of Conduct, and GOVERNANCE.md for how decisions are made.
Yeliztli is privacy-first — never paste raw genotype data or attach your genome file to a public issue or discussion.
Yeliztli's code is released under the MIT license. To cite it, use CITATION.cff (GitHub's "Cite this repository"). It annotates against several public datasets, each retained under its own license — see NOTICE and the attribution page.