cellassign 520de59-foss-2019b-Python-3.7.4-R-3.6.2Automated, probabilistic assignment of cell types in scRNA-seq data
Accessing cellassign 520de59-foss-2019b-Python-3.7.4-R-3.6.2
To load the module for cellassign 520de59-foss-2019b-Python-3.7.4-R-3.6.2 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load cellassign/520de59-foss-2019b-Python-3.7.4-R-3.6.2
There is a GPU enabled version of this module: cellassign 520de59-fosscuda-2019b-Python-3.7.4-R-3.6.2
BEAR Apps Version
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.
- cellassign 520de59
- tfprobability 0.8.0.0
For more information visit the cellassign website.
This version of cellassign has a direct dependency on: foss/2019b Python/3.7.4-GCCcore-8.3.0 R/3.6.2-foss-2019b R-bundle-Bioconductor/3.10-foss-2019b-R-3.6.2 R-keras/18.104.22.168-foss-2019b-Python-3.7.4-R-3.6.2 tensorflow_probability/0.8.0-foss-2019b-Python-3.7.4
This version of cellassign is a direct dependent of: BEAR-R-bio/2019b-foss-2019b-R-3.6.2
These versions of cellassign 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 13th January 2020