IBDSim

IBDSim simulates genotypic data under isolation by distance (IBD) models to explore spatial genetic variation and demographic effects.

Key Features:

• Backward Coalescent Algorithm: Implements a generation-by-generation backward coalescent algorithm to trace lineage coalescence through time.
• Flexible IBD Models: Supports both discrete subpopulations and continuous population models for isolation by distance scenarios.
• Diverse Dispersal Distributions: Accommodates multiple dispersal distributions to represent varied dispersal patterns.
• Spatial and Temporal Heterogeneity: Incorporates spatial and temporal heterogeneity in demographic parameters.

Scientific Applications:

• Study of Genetic Variation Patterns: Examines how sampling strategies, mutational processes, and demographic factors influence observed genetic variation.
• Test Data Set Production: Generates test datasets to evaluate the accuracy and performance of inferential methods for genotypic data.

Methodology:

Uses a generation-by-generation backward coalescent algorithm that traces genetic lineages backward through time and integrates demographic models and dispersal distributions to simulate gene flow and population structure under IBD conditions.