Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/rtahmasbi/geneevolve

A fast and memory efficient forward-time simulator of realistic whole-genome sequence and SNP data
https://github.com/rtahmasbi/geneevolve

bioinformatics cpp genomics sequencing simulator snp-data statistics

Last synced: about 3 hours ago
JSON representation

A fast and memory efficient forward-time simulator of realistic whole-genome sequence and SNP data

Awesome Lists containing this project

README

        

# GeneEvolve
A fast and memory efficient forward-time simulator of realistic whole-genome sequence and SNP data

This work is published in Bioinformatics (2017), click [here](https://academic.oup.com/bioinformatics/article/33/2/294/2525714) to download it.

GeneEvolve is a user-friendly and efficient population genetics simulator that handles complex evolutionary scenarios and generates individual-level phenotypes and realistic whole-genome sequence or SNP data.
GeneEvolve runs forward-in-time, which allows it to provide a wide range of scenarios for mating systems, selection, population size and structure, migration, recombination, and environmental effects.

# Download
To download “GeneEvolve”, you can push the green button “Clone or Download” and then “Download ZIP”.

Or, you can type the following commands in the terminal:

git clone https://github.com/rtahmasbi/GeneEvolve
cd GeneEvolve


Or,

wget https://github.com/rtahmasbi/GeneEvolve/archive/master.zip
unzip master
cd GeneEvolve-master

# Binary files
The compiled files for Linux and Mac users are availible in the main direcory: `GeneEvolve_Linux` and `GeneEvolve_Mac`

# Compile
To compile GeneEvolve, run the following commands:

make
cd bin
./GeneEvolve --help

# Documentation
The Documentation file is available in the main directory: `GeneEvolveDocumentation.pdf`.

# Examples
There is `Examples.zip` file in the main directory. Detailed explanation for using these examples are in the documentation file: `GeneEvolveDocumentation.pdf`.