scVelo 0.1.25-foss-2019b-Python-3.7.4

There is a newer version of scVelo

scVelo is a scalable toolkit for estimating and analyzing RNA velocities in single cells using dynamical modeling.

Accessing scVelo 0.1.25-foss-2019b-Python-3.7.4

To load the module for scVelo 0.1.25-foss-2019b-Python-3.7.4 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):

module load scVelo/0.1.25-foss-2019b-Python-3.7.4

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.


  • anndata 0.7.1
  • Cycler 0.10.0
  • get_version 2.1
  • kiwisolver 1.2.0
  • legacy-api-wrap-1.2
  • loompy 3.0.6
  • matplotlib 3.2.1
  • natsort 7.0.1
  • numpy-groupies-0.9.10
  • scanpy 1.4.6
  • scVelo 0.1.25
  • umap-learn-0.3.10

More Information

For more information visit the scVelo website.


This version of scVelo has a direct dependency on: foss/2019b freetype/2.10.1-GCCcore-8.3.0 h5py/2.10.0-foss-2019b-Python-3.7.4 libpng/1.6.37-GCCcore-8.3.0 networkx/2.4-foss-2019b-Python-3.7.4 numba/0.47.0-foss-2019b-Python-3.7.4 PyTables/3.6.1-foss-2019b-Python-3.7.4 Python/3.7.4-GCCcore-8.3.0 scikit-learn/0.21.3-foss-2019b-Python-3.7.4 SciPy-bundle/2019.10-foss-2019b-Python-3.7.4 Seaborn/0.10.0-foss-2019b-Python-3.7.4 statsmodels/0.11.0-foss-2019b-Python-3.7.4 Tkinter/3.7.4-GCCcore-8.3.0 tqdm/4.41.1-GCCcore-8.3.0

Other Versions

These versions of scVelo 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.

Last modified on 30th April 2020