learnMSA 2.0.10-foss-2023a-CUDA-12.1.1

Learning and Aligning Large Protein Families with support of protein language models.

Accessing learnMSA 2.0.10-foss-2023a-CUDA-12.1.1

To load the module for learnMSA 2.0.10-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 learnMSA/2.0.10-foss-2023a-CUDA-12.1.1

There is a CPU version of this module: learnMSA 2.0.10-foss-2023a

BEAR Apps Version

2023a

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.

More Information

For more information visit the learnMSA website.

Dependencies

This version of learnMSA has a direct dependency on: Biopython/1.83-gfbf-2023a CUDA/12.1.1 foss/2023a imageio/2.33.1-gfbf-2023a logomaker/0.8.7-gfbf-2023a networkx/3.1-gfbf-2023a pyfamsa/0.6.0-GCCcore-12.3.0 Python/3.11.3-GCCcore-12.3.0 Seaborn/0.13.2-gfbf-2023a SentencePiece/0.2.0-GCC-12.3.0 TensorFlow/2.15.1-foss-2023a-CUDA-12.1.1 Transformers/4.39.3-foss-2023a

Required By

This version of learnMSA is a direct dependent of: Tiberius/1.1.7-foss-2023a-CUDA-12.1.1

Other Versions

These versions of learnMSA are available on the BEAR systems (BlueBEAR and BEAR Cloud VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Last modified on 9th January 2026