Monte Carlo Analysis
Advanced G25 Analysis Tool

Monte Carlo G25 Simulator

Model your ancestry with optimization algorithms. Adjust populations, compute genetic distances, and visualize results with treegrams and similarity maps.

Populations

18 / 18 selected

Your G25 Coordinates

Supports Vahaduo, G25 Dodecanomics, and raw coordinate formats

Analysis Configuration

1K100K
320

Populations

18

Iterations

10,000

Coordinates

Not set

Genetic Distance

15 populations
Current: 0.500
#PopulationDistanceFit
1
Lemko
0.0112Great
2
Rusyn
0.0148Great
3
Ukrainian
0.0215Good
4
Slovak
0.0267Good
5
Polish
0.0289Good
6
Hungarian
0.0334Average
7
Czech
0.0356Average
8
Belarusian
0.0378Average
9
Romanian
0.0412Distant
10
Lithuanian
0.0445Distant
11
Serbian
0.0467Distant
12
Croatian
0.0489Distant
13
Russian
0.0512Distant
14
Bulgarian
0.0534Distant
15
Slovenian
0.0556Distant

Analysis Settings

Active Populations0

Ancestry Breakdown

Vahaduo
Δ0.01120
Lemko34%
Rusyn23%
Ukrainian15%
Slovak12%
Polish9%
Hungarian4%
Czech3%
Fit score94.2%

Closest Populations

1🏔️Lemko
0.0112
2⛰️Rusyn
0.0148
3🇺🇦Ukrainian
0.0215
4🇸🇰Slovak
0.0267
5🇵🇱Polish
0.0289

18

Populations Analyzed

—

Best Fit Distance

10,000

Iterations Completed

Your Sample

Sample Name

How Monte Carlo Analysis Works

Our simulator uses advanced optimization algorithms to model your genetic ancestry against reference populations

Input Coordinates

Paste your G25 coordinates in any format — Vahaduo, G25 Dodecanomics, or raw numbers

Configure Parameters

Select reference populations, distance metric, and iteration count

Run Simulation

Monte Carlo algorithm optimizes population proportions to find best fit

Explore Results

View distances, treegrams, and geographic similarity maps

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