Signal quantification
The module counts signal-oriented allele states at the panel positions available in your file.
A marker is a hit when at least one oriented allele is present; allele rate reflects whether one or two copies were observed.
Measure how often your available allele calls align with Neanderthal- and Denisovan-oriented panel markers, then place those scores within modern reference distributions.
Upload the unmodified AncestryDNA, 23andMe, or FTDNA export. The report states exactly how much of the 5,000-marker panel overlaps.
The file is analysed securely in one session and never persists on our servers.
Drop your raw DNA file here
or.txt, .csv, .zip, .gz · 25 MB max
The module counts signal-oriented allele states at the panel positions available in your file.
A marker is a hit when at least one oriented allele is present; allele rate reflects whether one or two copies were observed.
Scores are benchmarked against bundled modern references from West Asia, East Asia, Northern/Western Europe, Australian Aboriginal populations, and Mbuti.
A percentile describes rank within one reference set — not a probability or ancestry proportion — and can change as panels are revised.
Optimised for 23andMe, AncestryDNA, and FTDNA raw exports (ZIP, TXT, or CSV).
Files are processed in a single session and never retained after results are shown.
No. The score reflects match rates at archaic-informative markers, not a direct ancestry percentage. Higher scores mean more of your allele states match the archaic-assumed variants at those informative SNPs.
Upload the ZIP, TXT, or CSV exports from 23andMe, AncestryDNA, or FTDNA.
Internally curated modern percentile references, currently including Northern & Western Europe, West Asia, East Asia, Australian Aboriginal populations, and Mbuti. Ranges may shift as references are refined.
Files are processed in a single session and not retained after results are shown.