(Deep cryo-EM Map Enhancer) a python package designed to perform non-linear post-processing of cryo-EM maps for local sharpening, automatic masking and denoising. Systems using cuda 11+ should use the 20210511 version of deepEMhancer, and the modified models distributed in /programs/share/deepemhancer/20210511/deepEMhancerModels/production_checkpoints/
Users have reported issues when loading the models obtained using the --download flag with DeepEMhancer. If you have errors running the application, try adding this flag
to your deepemhancer command. This will use the local models which are known to work with the versions of DeepEMhancer in SBGrid.
InstallationUse the following command to install this title with the CLI client:
$ sbgrid-cli install deepemhancerAvailable operating systems: Linux 64
R. Sanchez-Garcia, J. Gomez-Blanco, A. Cuervo, J. M. Carazo, C. O. S. Sorzano, and J. Vargas. 2021. DeepEMhancer: a deep learning solution for cryo-EM volume post-processing. Communications Biology. 4(1): 874.
*Full citation information available through
Linux 64:  20220530_cu10 (3.5 GB)
Linux 64:20200909 (4.2 GB) , 20210511 (5.3 GB) , 20220530_cu11 (4.4 GB)
- Common files size: 2.6 GB
Javier Vargas, Ruben Sanchez-Garcia