Program for estimating πN/πS, dN/dS, and other diversity measures from next-generation sequencing data

A simple simulation in Unity, which uses genetic algorithm to optimize forces applied to cubes

A simple ecosystem simulation written in Rust and Bevy

Pinpoints the mutation favored by selection

Genome-wide scan for balancing selection using beta statistic

An evaluation framework to test AI in a trial-and-error process. It is a simplified Natural Selection test.

Automated and Distributed Population Genetic Model Inference from Allele Frequency Spectra

Program for estimating dN/dS in overlapping genes (OLGs)

Our project is a non-predictable, highly engaging, modern designed, educational, environment-based, data processing, visually represented, 3D-based, mutation-based, interactive, natural selection simulator with a great ease of use

Open-ended natural selection of interacting code-data-dual algorithms as a property analogous to Turing completeness.

A 3D simulation of natural processes within a small ecosystem, such as evolution and natural selection.

Code and data for: James ME et al. (2021) Highly replicated evolution of parapatric ecotypes. Molecular Biology and Evolution. 38(11), 4805-4821.

Genetic Based Selection Forced Reinforcement Learning

Chess Genetic Algorithm in Position Search for Movement Maximization

Interactive game to simulate emergence and natural selection in biological systems

This project is a simulator of evolutionary processes in living organisms, creating a virtual ecosystem where populations undergo natural selection, mutations, and adaptation. It models genetic inheritance, random mutations, and environmental interactions, leading to population changes over time.

The ENSL website. http://ensl.org

Simulación basada en agentes para estudiar selección natural y comportamiento emergente. Implementado en Python con agentes SPADE que se comunican por XMPP, genera datos de generación en CSV y proporciona una interfaz web interactiva 3D (Three.js) para visualización en tiempo real.

Sapiogenesis is a project designed to simulate the process of natural selection and evolution in physical bodies as well as neural networks through the process of random mutations and Reinforcement Learning. This allows simulated organisms to learn and make decisions based off past experiences.

A natural selection simulation where blobs compete and evolve depending on environment