In-silico analysis for ancient & modern genomes

Ancestry Modeling
(qpAdm & f-statistics)

The gold-standard method of the ancient-DNA field: your target genome is modeled as a mixture of candidate source populations, and every model is statistically tested against a panel of outgroups. We build rotating-outgroup model cascades, check feasibility, and stress-test winners across missingness thresholds. The same discipline used in Nature and Science papers.

Admixture Dating

Ancestry proportions tell you what mixed; admixture dating tells you when. Using the decay of admixture linkage disequilibrium, we estimate mixture dates in generations and calendar years, and it works even on a single ancient genome.

Y-DNA & mtDNA
Haplogroup Analysis

We place paternal and maternal lineages at the deepest branch your data can support, cross-validated with multiple independent callers, so one tool's blind spot never becomes your conclusion. For ancient samples, we explicitly separate true variants from DNA-damage artifacts.

Low-Coverage
Imputation & Rescue

A 0.5× genome is not a dead end. We impute low-coverage data against modern reference panels to research-grade genotype density, unlocking PCA, qpAdm, kinship, and haplotype methods your raw coverage could never support. Every imputation ships with quality metrics so you know exactly what to trust.

Kinship &
Relatedness

Who was buried next to whom, and were they family? We detect 1st- to 3rd-degree relationships between samples, even at the low coverages typical of ancient DNA, using methods designed exactly for that regime.

Personal Ancient
Ancestry Reports

Consumer tests tell you you're "52% Middle Eastern." We tell you which ancient populations (Natufian hunter-gatherers? Anatolian farmers? Zagros herders?) and in what proportions, using the same formal models we run for researchers, written up so a non-specialist can actually read it.

Molecular Dynamics
(MD Simulations)

Molecular dynamics for biomolecular systems, run in GROMACS, AMBER, NAMD, or OpenMM, whichever engine fits your system and force field: protein-protein, protein-ligand, protein-peptide, and protein-DNA/RNA complexes, plus lipid bilayer simulations. We set up the system, run equilibration and production MD, and extract stability, binding, and conformational behavior from the trajectory.

Density Functional
Theory (DFT)

Quantum-chemical calculations for electronic structure, geometry optimization, and reaction energetics, using standard plane-wave and localized-basis DFT codes. From a single molecule to a periodic system, we compute optimized geometries, energies, and electronic properties and hand you a report you can drop into your methods section.

Materials Simulations

Classical and ab-initio materials modeling: crystal structures, point and extended defects, and mechanical or thermal properties, on the same infrastructure we use for our genomics and MD work. We match the method to the question, from force-field MD to first-principles calculations, and report what the simulation actually shows, uncertainties included.