Archaic markers explorer
Upload AncestryDNA, 23andMe, or FTDNA raw data to quantify archaic signal rates, compare against global reference panels, and surface standout variants that distinguish your archaic markers.
We read the markers required for archaic markers modelling. Works with AncestryDNA, 23andMe, and FTDNA exports.
The file is analysed securely in one session and never persists on our servers.
Drop genomic data file here
or.txt, .csv, .zip, .gz · 25 MB max
This framework measures your match rate at archaic-informative marker positions and benchmarks your signal against curated regional reference panels.
Small segments of Neanderthal and Denisovan DNA are present in many people today. These segments act as signals that allow us to compare your genome against curated regional references.
Genostruct measures your match rate at specific "archaic-informative" marker positions — variants that were fixed in archaic hominins but absent or rare in early modern human populations.
Scores are benchmarked against internally curated modern percentile references including West Asia, East Asia, Northern/Western Europe, and Australian Aboriginal populations.
The archaic-informative markers used for Neanderthal and Denisovan signal modelling were originally defined using comparisons against Mbuti. As regional references are expanded or refined, percentile ranges may shift slightly.
Optimized for 23andMe, AncestryDNA, and FTDNA raw exports. Upload the ZIP, TXT, or CSV file you download directly from your provider account.
Files are processed in a single session and never retained after results are shown.
Export it from your 23andMe, AncestryDNA, or FTDNA account and upload the ZIP/TXT/CSV here.
The score reflects match rates at archaic-informative markers, not a direct ancestry percent. Higher scores simply mean more of your allele states match the archaic-assumed variants at those informative SNPs within our reference framework.
Some Eurasian groups commonly show stronger archaic signals than other world regions in our references.
Genostruct uses internally curated modern percentile references. Current reference regions include Northern and Western Europe (e.g. Scandinavian, Scottish, and French samples), West Asia, East Asia, Australian Aboriginal populations, and Mbuti. The archaic-informative markers used for Neanderthal and Denisovan signal modelling were originally defined using comparisons against Mbuti. As regional references are expanded or refined, percentile ranges may shift slightly.
Files are processed in a single session and not retained after results are shown.