Installation
Note
Supported Python versions are 3.12, 3.13 and 3.14.
Important
Don’t forget to download the UniProt ID mapping table (uniprot_kegg_genpept.gz) from the latest cfoldseeker release if you’d like to run a remote structure-based search.
Conda (recommended)
This is the recommended and most straightforward way to install csuite. It should work on any Linux or MacOS system. Create a fresh conda environment as well to keep it from meddling with your other tools. It is directly installable from Bioconda.
conda create -n csuite -c bioconda -c conda-forge csuite
or by using the conda yml environment file in this repo.
conda env create -f env.yml
Then start using it by activating the conda environment.
conda activate csuite
Docker
csuite is also available as a Docker image from DockerHub. This is one of the recommended ways to run csuite on Windows (the other one being running it using Windows’ WSL feature).
docker pull lucodevro/csuite
There is no entrypoint set up so running csuite requires prepending your csuite command with the appropriate Docker commands.
docker run lucodevro/csuite -v <some-input-file-or-folder>:<path-you-want-it-inside-the-container> csuite [workflow] [-<flags>] [arguments]
GitHub
Alternatively, it is possible to install the latest semi-stable development version by cloning this repository and running the following command at the root of your local copy of this repository.
pip install .
PyPi
csuite is also installable from PyPi using pip, yet we do not recommend using this approach as several core dependencies are not available from PyPi, and therefore should be installed in another way. So either make sure you have installed it separately, or use one of the other installation options.
pip install csuite
Warning
We do not recommend using this approach as key non-Python dependencies are not available from PyPi and therefore should be installed separately.