FractalSIM

FractalSIM simulates genome-wide genetic variation under multiple demographic and selective scenarios to model admixture and homogeneous population dynamics for medical population genetics research.

Key Features:

• Multi-Scenario Simulation: Simulates genome-wide data under a variety of genetic models including admixed and homogeneous population scenarios.
• Natural Selection Integration: Incorporates natural selection during both admixture and homogeneous processes to reflect evolutionary dynamics.
• Genome-Wide Data Capability: Handles large-scale, genome-wide simulations rather than being limited to single chromosomes or specific regions.
• Validation and Evaluation: Outputs have been assessed using popular analytical tools and used to evaluate performance of methods such as ancestry inference and GWAS.

Scientific Applications:

• Ancestry Inference: Evaluating tools that determine ancestral origins using simulated admixed and homogeneous genomic data.
• Genome-Wide Association Studies (GWAS): Assessing methodologies used to identify genetic variants associated with diseases under realistic demographic and selective scenarios.
• Disease Genetics Research: Simulating genomic variation linked to specific diseases to investigate genetic architecture and effects of demography and selection.

Methodology:

Simulates genome-wide data across multiple genetic models, integrates natural selection during admixture and homogeneous processes, and evaluates outputs with analytical tools for ancestry inference and GWAS.