The latest documentation for CryoBench is available at our homepage and also at our manual.
For any feedback, questions, or bugs, please file a Github issue, start a Github discussion, or email.
To run the metrics, you have to install cryodrgn.
cryodrgn may be installed via pip, and we recommend installing cryodrgn in a clean conda environment.
# Create and activate conda environment
(base) $ conda create --name cryodrgn python=3.9
(cryodrgn) $ conda activate cryodrgn
# install cryodrgn
(cryodrgn) $ pip install cryodrgn
More installation instructions are found in the documentation.
Datasets are available for download at Zenodo.
- Conf-het: https://zenodo.org/records/11629428.
- Comp-het: https://zenodo.org/records/12528292.
- Spike-MD: https://zenodo.org/records/12528784.
Look at the repo cryosim.
Look at the repo metrics/fsc
Look at the repo metrics/visualization
Jeon, Minkyu, et al. "CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM." arXiv preprint arXiv:2408.05526 (2024) paper.
Please submit any bug reports, feature requests, or general usage feedback as a github issue or discussion.