Real-time updates and information about key SARS-CoV-2 variants, plus the scripts that generate this information.

Regexp based tool for mutating generic source code across numerous languages

Python mutation testing: test your tests! Safely run mutation trials without source code modifications and see what will get past your test suite.

PassMute - A multi featured Password Transmutation/Mutator Tool

A tool for simulating random mutations in any genome

This python script detects known traits in raw human genetic data.

Genetic algorithms are heuristic search algorithms inspired by the process that supports the evolution of life. The algorithm is designed to replicate the natural selection process to carry generation, i.e. survival of the fittest of beings.

Phänotyp allows to perform genetic mutation of architectural structures. Furthermore it can be used to analyze moving shapes. This is especially useful when working on kinematic architectural projects. The tool is focusing on early stages of the design process and can be used for free without any warranty.

Implementation of NSGA-II in Python

GARNE: Genetic-Algorithm-with-Recurrent-Network-and-Novelty-Exploration

In this project we implement a DNA-Genetic Encryption Technique (D-GET) in order to make the DNA SEQUENCE more secure and less predictable.

Analysis and plotting library for base substitution spectra and signatures

SomaticSiMu generates single and double base pair substitutions, and single base pair insertions and deletions of biologically representative mutation signature probabilities and combinations.

Visualizing the effect of SNPs on protein structure using iCn3D

Generate a rich feature space describing all possible mutations in a given protein sequence (+ structure)

Tools for sorting pytest test cases

IDH and TERTp mutation classification in gliomas using 1D-CNN with MRS data.

a python program thart uses genetic algorithm to find max point of y = sin(10Πx)+2

A Python script that solves the traveling salesman problem using genetic algorithms. The cities and the distances are predetermined but can also be randomly generated.

Using genetic algorithm for finding the shortest and optimized route based on its environment.