cell2location 0.1.3-foss-2022a-CUDA-11.7.0Comprehensive mapping of tissue cell architecture via integrated single cell and spatial transcriptomics (cell2location model)
Accessing cell2location 0.1.3-foss-2022a-CUDA-11.7.0
To load the module for cell2location 0.1.3-foss-2022a-CUDA-11.7.0 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load bear-apps/2022a
module load cell2location/0.1.3-foss-2022a-CUDA-11.7.0
There is a CPU version of this module: cell2location 0.1.3-foss-2022a
BEAR Apps Version
EL8-haswell (GPUs: NVIDIA P100) — EL8-icelake (GPUs: NVIDIA A100, NVIDIA A30)
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 and CaStLeS Cloud 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.
- cell2location 0.1.3
For more information visit the cell2location website.
This version of cell2location has a direct dependency on: CUDA/11.7.0 foss/2022a OpenCV/4.6.0-foss-2022a-CUDA-11.7.0-contrib Python/3.10.4-GCCcore-11.3.0 PyTorch/1.12.1-foss-2022a-CUDA-11.7.0 scanpy/1.9.1-foss-2022a SciPy-bundle/2022.05-foss-2022a scvi-tools/0.20.1-foss-2022a-CUDA-11.7.0
These versions of cell2location are available on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.
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Last modified on 28th February 2023