scVelo 0.1.24-foss-2019b-Python-3.7.4

There is a newer install of scVelo

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

Accessing scVelo 0.1.24-foss-2019b-Python-3.7.4

To load the module for scVelo 0.1.24-foss-2019b-Python-3.7.4 please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load scVelo/0.1.24-foss-2019b-Python-3.7.4

BEAR Apps Version

2019b

Architectures

EL8-cascadelake — EL8-icelake — EL8-sapphirerapids

The listed architectures consist of two part: 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

  • anndata 0.7.1
  • Cycler 0.10.0
  • get_version 2.1
  • kiwisolver 1.1.0
  • legacy-api-wrap-1.2
  • loompy 3.0.6
  • matplotlib 3.0.3
  • natsort 7.0.0
  • numpy-groupies-0.9.10
  • scanpy 1.4.5.post2
  • scVelo 0.1.24
  • seaborn 0.9.0
  • umap-learn-0.3.10

More Information

For more information visit the scVelo website.

Dependencies

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 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 and BEAR Cloud VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Last modified on 27th January 2020