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Related Experiment Video

Updated: Jul 12, 2026

A Uniaxial Compression Experiment with CO2-Bearing Coal Using a Visualized and Constant-Volume Gas-Solid Coupling Test System

A Uniaxial Compression Experiment with CO₂-Bearing Coal Using a Visualized and Constant-Volume Gas-Solid Coupling Test System

Published on: June 12, 2019

CoalMiner: a coalescent model generator for fastsimcoal2.

Raya Esplin-Stout, Arun Sethuraman

Biorxiv : the Preprint Server for Biology

|July 10, 2026

Summary

CoalMiner is a new Python tool that generates demographic models for population genetics. It helps researchers explore complex evolutionary histories more effectively using the Site Frequency Spectrum (SFS).

Area of Science:

Population Genetics
Evolutionary Biology
Computational Biology

Background:

Demographic inference using the Site Frequency Spectrum (SFS) is limited by the number and complexity of models.
Exploring diverse demographic histories is crucial for understanding evolutionary processes.

Purpose of the Study:

To introduce CoalMiner, a novel coalescent model generator for fastsimcoal2.
To facilitate the generation of biologically plausible demographic models for population genetic analyses.

Main Methods:

CoalMiner employs a decision tree framework to generate demographic models.
User input defines demographic parameters and histories for model generation.
Generated models are compatible with the fastsimcoal2 pipeline.

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Published on: June 5, 2017

Related Experiment Videos

Last Updated: Jul 12, 2026

A Uniaxial Compression Experiment with CO2-Bearing Coal Using a Visualized and Constant-Volume Gas-Solid Coupling Test System

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Modeling Fast-scan Cyclic Voltammetry Data from Electrically Stimulated Dopamine Neurotransmission Data Using QNsim1.0

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Published on: June 5, 2017

Main Results:

CoalMiner effectively expands the exploration of demographic model space.
Simulations and empirical data demonstrate CoalMiner's utility as a helper tool.
The tool enhances the process of demographic inference.

Conclusions:

CoalMiner is an effective tool for generating and exploring demographic models in population genetics.
The Python-based generator is freely available with tutorials for ease of use.