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Improving Resolution and Resolvability of Single Particle CryoEM using Gaussian Mixture Models
Cryogenic electron microscopy is widely used in structural biology, but its resolution is often limited by the dynamics of the macromolecule.
Integrating molecular models into CryoEM heterogeneity analysis using scalable high-resolution deep Gaussian mixture models
Resolving the structural variability of proteins is often key to understanding the structure-function relationship of those macromolecular machines.
Deep learning based mixed-dimensional GMM for characterizing variability in CryoEM
The software is distributed as part of EMAN2.
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