mxfold2 0.1.1-foss-2020b-PyTorch-1.7.1

RNA secondary structure prediction using deep learning with thermodynamic integration

Accessing mxfold2 0.1.1-foss-2020b-PyTorch-1.7.1

To load the module for mxfold2 0.1.1-foss-2020b-PyTorch-1.7.1 please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):

module load mxfold2/0.1.1-foss-2020b-PyTorch-1.7.1

BEAR Apps Version

2020b

Architectures

EL8-cascadelake — EL8-haswell

The listed architectures consist of two part: OS-CPU.

  • BlueBEAR: The OS used on BlueBEAR 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.
  • BEAR Cloud and CaStLeS VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.

Extensions

  • mxfold2 0.1.1
  • setuptools_cpp 0.1.0

More Information

For more information visit the mxfold2 website.

Dependencies

This version of mxfold2 has a direct dependency on: foss/2020b Python/3.8.6-GCCcore-10.2.0 PyTorch/1.7.1-foss-2020b torchvision/0.8.2-foss-2020b-PyTorch-1.7.1 tqdm/4.56.2-GCCcore-10.2.0

Last modified on 5th March 2021