structural heterogeneity analysis for cryo-ET subtomogram
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Updated
Jul 9, 2024 - Python
structural heterogeneity analysis for cryo-ET subtomogram
TomoNet is a GUI based pipeline package focusing on cryoET and STA data processing
Subtomogram averaging tutorials
A pipeline to detect domains in cryo-EM density map by parsing domains from AlphaFold databases and fitting into the map for the best hits.
CryoCARE : denoising tomograms for cryo-ET (by @juglab)
MemBrain : Membrane segmentation in 3D for cryo-ET (by @teamtomo)
A curated list of awesome computational cryo-ET methods.
Self-supervised learning for isotropic cryoET reconstruction
cryo-ET particle picking by representation and metric learning
Self-supervised deep learning for denoising and missing wedge reconstruction of cryo-ET tomograms
Plugin to run MemBrain software within Scipion
A napari plugin for the DeepFinder library which includes display, annotation, target generation, segmentation and clustering functionalities. An orthoslice view has been added for an easier visualisation and annotation process.
ArtiaX is an open-source extension of the molecular visualisation program ChimeraX.
Some scripts to facilitate subtomogram-averaging workflows.
TomoBEAR is a configurable and customizable modular pipeline for streamlined processing of cryo-electron tomographic data for subtomogram averaging.
Pipeline for the automatic detection and segmentation of particles and cellular structures in 3D Cryo-ET data, based on deep learning (convolutional neural networks).
Cellular content mining and particle localization
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