VCF2Dis: an ultra-fast and efficient tool to calculate pairwise genetic distance and construct population phylogeny from VCF files
We provide three alternative options to install VCF2Dis
Just sh make.sh to compile VCF2Dis. The executable VCF2Dis can be found in the folder of bin/VCF2Dis
For Linux /Unix and macOS
tar -zxvf VCF2DisXXX.tar.gz # if Link do not work ,Try re-install [zlib]library
cd VCF2DisXXX; # [zlib] and copy them to the library Dir
sh make.sh; # VCF2Dis-xx/src/include/zlib
./bin/VCF2Dis
Note: If fail to link,try to re-install the libraries zlib
Note:: R with ape, dplyr and ggtree packages are recommended
You can use Docker to install and run VCF2Dis, following the steps listed below:
- Install Docker: Ensure Docker is installed on your system. If not, please install it by following the Docker Official Documentation.
- Pull the Docker Image: Use the following command to pull the VCF2Dis Docker image from the Alibaba Cloud Container Registry:
docker pull registry.cn-shenzhen.aliyuncs.com/knight134/vcf2dis:v1.53e ## Docker image from the Alibaba Cloud Container Registry docker run -it --rm vcf2dis:v1.53e VCF2Dis ## After pulling the image, you can run the containe
- Install Singularity: Ensure Singularity is installed on your system. If not, you can install it by following the Singularity Official Documentation.
- Build the SIF File: Use the following command to build a Singularity image file (SIF) from the Docker image:
singularity build vcf2dis_1.53e.sif docker://registry.cn-shenzhen.aliyuncs.com/knight134/vcf2dis:v1.53e # you can download follows singularity exec vcf2dis_1.53e.sif VCF2Dis
- Download the SIF File:Alternatively, you can download the SIF file directly from the github: vcf2dis_1.53e.sif. Once downloaded, you can run it using Singularity.
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