SemiBin 2.1.0-foss-2023a-CUDA-12.1.1

SemiBin: Metagenomic Binning Using Siamese Neural Networks for short and long reads

Accessing SemiBin 2.1.0-foss-2023a-CUDA-12.1.1

To load the module for SemiBin 2.1.0-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 SemiBin/2.1.0-foss-2023a-CUDA-12.1.1

There is a CPU version of this module: SemiBin 2.1.0-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.

Extensions

• SemiBin 2.1.0

More Information

For more information visit the SemiBin website.

Dependencies

This version of SemiBin has a direct dependency on: BEDTools/2.31.0-GCC-12.3.0 CUDA/12.1.1 foss/2023a FragGeneScan/1.31-GCCcore-12.3.0 HMMER/3.4-gompi-2023a MMseqs2/14-7e284-gompi-2023a prodigal/2.6.3-GCCcore-12.3.0 Python/3.11.3-GCCcore-12.3.0 python-igraph/0.11.4-foss-2023a PyTorch/2.1.2-foss-2023a-CUDA-12.1.1 PyTorch-bundle/2.1.2-foss-2023a-CUDA-12.1.1 PyYAML/6.0-GCCcore-12.3.0 SAMtools/1.18-GCC-12.3.0 scikit-learn/1.3.1-gfbf-2023a SciPy-bundle/2023.07-gfbf-2023a tqdm/4.66.1-GCCcore-12.3.0

Other Versions

These versions of SemiBin 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 11th March 2025