SPLATCHE3
SPLATCHE3 simulates genetic data under spatially explicit evolutionary scenarios to model migration, hybridization, temporal sampling, and DNA mutation processes for population genetics studies.
Key Features:
- Long-Distance Migration: Simulates long-distance migration events to assess gene flow across large geographical scales.
- Heterogeneous Migrations: Supports spatially and temporally heterogeneous short-scale migrations to model complex, variable migration patterns.
- Hybridization Models: Simulates alternative hybridization scenarios to evaluate genetic outcomes of interbreeding between populations or species.
- Serial Sample Simulation: Simulates serial samples of genetic data to study temporal changes in genetic structure and diversity.
- DNA Mutation Models: Implements a wide variety of DNA mutation models to represent different mutational processes and rates.
Scientific Applications:
- Migration and Diversity Analysis: Investigating the effects of migration on genetic diversity across geographic space.
- Hybridization Studies: Studying hybridization events and their impact on population genetic composition.
- Temporal Genetic Change: Analyzing temporal changes in genetic data using serially sampled datasets.
- Mutation Pattern Modeling: Modeling evolutionary scenarios with varying mutation rates and mutational patterns.
Methodology:
Operates under a spatially explicit framework that models the geographical distribution of populations when simulating evolutionary scenarios, including migration, hybridization, serial sampling, and DNA mutation processes.
Topics
Details
- License:
- Unlicense
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- command-line tool, desktop application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- C++
- Added:
- 8/9/2019
- Last Updated:
- 11/24/2024
Operations
Data Inputs & Outputs
Modelling and simulation
Publications
Currat M, Arenas M, Quilodràn CS, Excoffier L, Ray N. SPLATCHE3: simulation of serial genetic data under spatially explicit evolutionary scenarios including long-distance dispersal. Bioinformatics. 2019;35(21):4480-4483. doi:10.1093/bioinformatics/btz311. PMID:31077292. PMCID:PMC6821363.