relion-classranker 0.0.1.20230822.b6e751e-foss-2023a-CUDA-12.1.1
The class ranker is part of the cryogenic electron microscopy (cryo-EM) dataset processing pipeline in RELION. It is used to automatically select suitable particles (EM images) assigned to 2D class averages for further downstream processing. This model comprises two main components: a CNN responsible for extracting image features, and an MLP that combines the image features with additional statistics to assigns a score ranging from zero to one for each 2D class average. The selection is subsequently done in RELION through a user defined cutoff for the predicted score. For training, a supervised approach is adopted, where pairs of 2D classes and corresponding human-assigned scores are used to teach the model.Accessing relion-classranker 0.0.1.20230822.b6e751e-foss-2023a-CUDA-12.1.1
To load the module for relion-classranker 0.0.1.20230822.b6e751e-foss-2023a-CUDA-12.1.1 please use this command on Baskerville:
📋
module load bask-apps/live
module load relion-classranker/0.0.1.20230822.b6e751e-foss-2023a-CUDA-12.1.1
Bask Apps Env
Extensions
- loguru 0.7.2
- relion_classranker 0.0.1.20230822
More Information
For more information visit the relion-classranker website.
Dependencies
This version of relion-classranker has a direct dependency on: CUDA/12.1.1 foss/2023a Python/3.11.3-GCCcore-12.3.0 PyTorch/2.1.2-foss-2023a-CUDA-12.1.1 relion-classranker_data/1.0 torchvision/0.16.0-foss-2023a-CUDA-12.1.1
Last modified on 17th October 2024