Custom Admixture
Build your own admixture model from scratch — pick your targets (either your own kits or any sample/population from the list), select your sources and experiment with the results.
DeepAncestryTM
Complete Ancestry Analysis
Carefully selected 585 Ancient Populations (3578 samples)
632 Modern Populations (over 10,000 samples)
Aegean Civilizations
Anatolian Civilizations
Ancient Americas
Ancient Central Asia
Ancient China
Ancient Egypt
Ancient Levant
Ancient Northeast Asia
Ancient South Asia
Caucasus Cultures
Celtic Tribes
Classical Greek
Crusading Era
Germanic Tribes
Imperial Roman Era
Iron Age Nomads
Japanese Islands
Medieval Nomads
Medieval Slavic
Old EuropeAegean Civilizations
Anatolian Civilizations
Ancient Americas
Ancient Central Asia
Ancient China
Ancient Egypt
Ancient Levant
Ancient Northeast Asia
Ancient South Asia
Caucasus Cultures
Celtic Tribes
Classical Greek
Crusading Era
Germanic Tribes
Imperial Roman Era
Iron Age Nomads
Japanese Islands
Medieval Nomads
Medieval Slavic
Old Europe
Your ancestry, mapped by era
Follow your DNA through Mesolithic Age, Neolithic Age, Bronze Age, Iron Age, Late Antiquity, and the Middle Ages — each period draws on its own curated population pool.
Through the ages
Hunter-Gatherer & Farmer
Pre-history
The deepest layer of your ancestry — signatures from the foraging bands, pioneer farmers, and steppe pastoralists who shaped the human population map before written history.
Find your closest matches
Position your DNA against curated ancient population groups, over 600 modern populations, and a growing library of notable historical individuals
Ancient
Curated archaeogenetic samples
Compare your DNA against carefully grouped ancient populations from Bronze Age civilizations to medieval kingdoms and see which historical groups your genome is closest to. Distances are computed against the same coordinate system the rest of DeepAncestry uses.
Let the algorithm roll
Gain more insights into your genetic profile with the top 50 best-fitting admixture combinations.
Unsupervised Analysis
Two & Three-way combinations
Brute-force fit against curated population sets
Pick a period, pick a combination size, and Unsupervised Analysis enumerates the top-ranked mixtures of both ancient and modern populations whose averaged coordinates best reproduce your DNA. Each ranked card spells out the three components and the percentage each one contributes to that fit.
Cluster Analysis
Two lenses on where your DNA lands
PCA places your kit on a 2-D plot of thousands of reference populations; Hierarchical Cluster groups those populations into a tree by genetic distance. Together they show where you sit — and who you sit with.
PCA reduces each kit to two coordinates and plots it against a backdrop of thousands of populations. Hierarchical clustering then takes those same populations and builds a tree of similarity — neighbouring branches are populations whose DNA clusters tightly together.
DNA Encyclopedia
The most complete archaeogenetic reference, in one place.
A living library covering every published ancient sample and modern reference population — sourced from the literature, kept current with every new study.
Browse by region, era, or culture. Learn about their genetic profiles and their genetic similarity to you.
- Most up-to-date ancient & modern DNA database
- The ultimate archaeogenetics & population genetics reference
- Continuously expanded as new samples are published
There Is More
Take full freedom, run your own custom genetic analysis with DIY Tools.
DIY Tools
The same engines, with your hand on the controls
Every curated tool and the population databases on DeepAncestry™ is available for you to conduct your own experiments.
Genetic Distances
Run your own genetic distances between any populations of your insterest.
PCA Plot
Plot your own PCA. Drop in the populations you want on the canvas and visualise the clusters.
How It Works?
Step 1.
Your raw genetic data will be processed and projected onto a PCA-based data space comprising thousands of ancient and modern individuals
Step 2.
We extract your coordinates that represent your genetic position in the PCA space
Step 3.
We use those coordinates to utilize a series of analysis (see below) and convey your results