Email: [email protected]
cryoDRGN Github: https://github.com/ml-struct-bio/cryodrgn
You will need access to python via Anaconda to run create an environment and install cryoDRGN. You may be able to access an cryoDRGN or Anaconda as a module if you are working on a managed cluster.
Running Anaconda from a module is okay but regardless of whether you’re working from a managed cluster or a standalone workstation we recommend installing cryoDRGN locally to ensure you have the latest release.
If you do not have access to Anaconda we recommend installing miniconda.
More documentation and tutorials are available in the official cryoDRGN user guide
(base) $ conda create --name cryodrgn python=3.13
(cryodrgn) $ conda activate cryodrgn
(cryodrgn) $ pip install cryodrgn
Optional - View cryodrgn and cryodrgn_utils documentation
cryodrgn --help
cryodrgn_utils --help
Navigate to the cryoDRGN project directory that has been created for you and check that you have a data directory and initial results directory
cd cryodrgn/00_cryodrgn_tutorial
ls