Overcoming the preferred orientation problem in cryoEM with self-supervised deep-learning
-
Updated
Jul 4, 2024 - Python
Overcoming the preferred orientation problem in cryoEM with self-supervised deep-learning
Scipion plugin for ModelAngelo: an automatic atomic model building program for cryo-EM maps. With or without providing a sequence.
Scipion (Cryo em image processing framework (https://scipion.i2pc.es/)) adapted to run in Kubernetes.
register 3D point clouds using rotation, translation, and scale transformations.
.MRC and .EM thumbnailer for GNOME
Plot the histogram of local resolution values of a cryo-EM reconstruction
Plot the 2D histogram of Euler angles covered by a set of cryo-EM particles
Plot metrics from a Topaz training run
Plot the class distribution as a function of iteration from a Class2D or Class3D job from RELION
Report the number of particles in each class from a run_data.star file produced by RELION
KLT picker: Particle picking using data-driven optimal templates (Python version)
Add a description, image, and links to the cryoem topic page so that developers can more easily learn about it.
To associate your repository with the cryoem topic, visit your repo's landing page and select "manage topics."