cryoDRGN 0.3.5-fosscuda-2020b
Unsupported: Use of this version of cryoDRGN is not supported. More information on our Applications Support and Retention Policy.
cryoDRGN: Deep Reconstructing Generative Networks for cryo-EM heterogeneous reconstruction. CryoDRGN is a neural network based algorithm for heterogeneous cryo-EM reconstruction. In particular, the method models a continuous distribution over 3D structures by using a neural network based representation for the volume.Accessing cryoDRGN 0.3.5-fosscuda-2020b
To load the module for cryoDRGN 0.3.5-fosscuda-2020b please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):
module load bear-apps-unsupported/handbuilt/2019
module load cryoDRGN/0.3.5-fosscuda-2020b
There is a CPU version of this module: cryoDRGN 0.3.5-foss-2020b
BEAR Apps Version
Extensions
- colorlover 0.3.0
- cryodrgn 0.3.5
- cufflinks 0.17.3
- pynndescent 0.5.2
- umap-learn-0.5.1
More Information
For more information visit the cryoDRGN website.
Dependencies
This version of cryoDRGN has a direct dependency on: fosscuda/2020b IPython/7.18.1-GCCcore-10.2.0 JupyterLab/2.2.8-GCCcore-10.2.0 matplotlib/3.3.3-fosscuda-2020b numba/0.52.0-fosscuda-2020b plotly.py/4.14.3-GCCcore-10.2.0 Python/3.8.6-GCCcore-10.2.0 PyTorch/1.7.1-fosscuda-2020b scikit-learn/0.23.2-fosscuda-2020b SciPy-bundle/2020.11-fosscuda-2020b Seaborn/0.11.1-fosscuda-2020b
Other Versions
These versions of cryoDRGN are available on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.
Version | BEAR Apps Version |
---|---|
0.3.5-foss-2020b | 2020b |
Last modified on 6th May 2022