Preparation
In this page, we will help you complete the preparation work before installation. You should choose one of the following platforms to configure.
Linux
1.1 Install Anaconda
You can install Anaconda from https://www.anaconda.com/ and choose Linux platform to download. If you have any questions, please refer to CONDA.
If you want to download it on Linux platform, you can use wget command to get it, either.
wget https://repo.anaconda.com/archive/Anaconda3-2020.11-Linux-x86_64.sh
If you are warned that cannot verify github.com's certificate, you can add '--no-check-certificate' after URL.
wget https://repo.anaconda.com/archive/Anaconda3-2020.11-Linux-x86_64.sh --no-check-certificate
Then you can install Anaconda by following command. Follow the prompts to install and keep the default if you are unsure how to choose.
bash Anaconda3-2020.11-Linux-x86_64.sh
You can try conda commands to make sure it has been installed.
conda
1.2 Install Blast+
You can install BLAST+ from https://ftp.ncbi.nlm.nih.gov/blast/executables/blast+/LATEST/ and choose Linux platform to download. Or you can install it on Linux system through conda command.
conda install -c bioconda blast
Then you can try run blast program to make sure it has been installed successfully.
blastn -h
Windows
2.1 Install Anaconda
You can install Anaconda from https://www.anaconda.com/ and choose Windows platform to download. If you have any questions, please refer to CONDA (Fig1.1-1.4).
After installation, you can check Anaconda from Start Menu (Fig1.5).
You can open CMD by Win+R to try conda commands if you have add Anaconda to your path environment. Or you can open Anaconda Prompt from Start Menu to try conda commands (Fig1.6-1.7).
Support packages
Whether on the windows platform or on the linux platform, RPCT relies on many python packages, most of them are common packages that come with python, but you still need to manually install some uncommon packages. And we suggest you install them through conda command instead of pip command, because conda can help you to configure dependent environments better. Here are some important packages you must install, and if you are warned that you don't have some packages, you can also install them through conda command.
# conda install [package name]
conda install sklearn
conda install ray
conda install pyecharts