skeleSim

skeleSim facilitates molecular ecology simulations by integrating simulation engines (fastsimcoal2, rmetasim) to run coalescent and forward-time models, set parameters, calculate genetic summary statistics, generate null distributions for population genetic statistics and marker types, and organize outputs into a reproducible workflow.


Key Features:

  • Extensible Framework: Provides an extensible framework that can integrate external simulation software to extend simulation and analysis capabilities.
  • Simulation Engines Integration: Integrates with fastsimcoal2 and rmetasim to execute simulations using external coalescent and forward-time engines.
  • Model Support: Supports both coalescent and forward-time models for population genetic simulation.
  • Parameter Specification: Allows explicit setting of simulation parameters to define demographic and genetic scenarios.
  • Genetic Summary Statistics: Calculates a range of genetic summary statistics from simulation outputs.
  • Null Distribution Generation: Generates null distributions for various population genetic statistics and marker types under diverse scenarios.
  • Reproducible Output Organization: Organizes simulation outputs into a reproducible workflow for consistent downstream analysis.

Scientific Applications:

  • Inference and Forecasting: Supports simulation-based inference and forecasting in molecular ecology.
  • Method Evaluation: Enables evaluation and validation of new population genetic methods using simulated data.
  • Ecological Investigation: Facilitates comprehensive ecological investigations that require exploration of genetic and demographic scenarios.
  • Complex Model Handling: Allows exploration of complex models and diverse demographic conditions through coalescent and forward-time simulations.

Methodology:

Integration with fastsimcoal2 and rmetasim; execution of coalescent and forward-time models; explicit parameter specification; calculation of genetic summary statistics; generation of null distributions for population genetic statistics and marker types; organization of outputs into a reproducible workflow.

Topics

Details

License:
GPL-2.0
Tool Type:
command-line tool
Operating Systems:
Windows, Mac
Programming Languages:
R
Added:
11/27/2018
Last Updated:
1/13/2019

Operations

Publications

Parobek CM, Archer FI, DePrenger‐Levin ME, Hoban SM, Liggins L, Strand AE. <scp>skelesim</scp>: an extensible, general framework for population genetic simulation in R. Molecular Ecology Resources. 2016;17(1):101-109. doi:10.1111/1755-0998.12607. PMID:27736016. PMCID:PMC5161633.

PMID: 27736016
PMCID: PMC5161633
Funding: - National Institutes of Health: F30AI109979, T32GM007092

Documentation

Links