relion-classranker 0.0.1.20250109.8727e78-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 0.0.1.20250109.8727e78-foss-2023a-CUDA-12.1.1
To load the module for relion-classranker 0.0.1.20250109.8727e78-foss-2023a-CUDA-12.1.1 please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):
📋
module load bear-apps/2023a
module load relion-classranker/0.0.1.20250109.8727e78-foss-2023a-CUDA-12.1.1
BEAR Apps Version
Architectures
EL8-icelake (GPUs: NVIDIA A100, NVIDIA A30)
The listed architectures consist of two parts: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.
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
Required By
This version of relion-classranker is a direct dependent of: RELION/5.0.0-foss-2023a-CUDA-12.1.1
Last modified on 3rd March 2025