Supported Applications

DeepEMhancer

Description

(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/
Installation
Use the following command to install this title with the CLI client: $ sbgrid-cli install deepemhancer
Primary Citation*

R. Sanchez-Garcia, J. Gomez-Blanco, A. Cuervo, J. M. Carazo, C. O. S. Sorzano, and J. Vargas. 2020. DeepEMhancer: a deep learning solution for cryo-EM volume post-processing. bioRxiv. 2020.06.12.148296.
- *Full citation information available through
Webinars

Topic: DeepEMhancer: exploiting previous knowledge to enhance map visualization
Presenter: Rubén Sánchez Garcia, Ph.D., The National Centre for Biotechnolgy, Spanish National Research Council

Host: Pete Meyer
Recorded on January 26, 2021