pyDNase 0.3.0-foss-2019b-Python-3.7.4pyDNase is a suite of tools for analysing DNase-seq data - pyDNase comes with several analysis scripts covering several common use cases of DNase-seq analysis, and also an implementation of the Wellington, Wellington 1D, and Wellington-boostrap footprinting algorithms.
Accessing pyDNase 0.3.0-foss-2019b-Python-3.7.4
To load the module for pyDNase 0.3.0-foss-2019b-Python-3.7.4 please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):
module load pyDNase/0.3.0-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 Cloud and CaStLeS 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.
- args 0.1.0
- clint 0.5.1
- Cycler 0.10.0
- matplotlib 1.5.3
- pyDNase 0.3.0
For more information visit the pyDNase website.
This version of pyDNase has a direct dependency on: foss/2019b freetype/2.10.1-GCCcore-8.3.0 libpng/1.6.37-GCCcore-8.3.0 Pysam/0.15.3-GCC-8.3.0 Python/3.7.4-GCCcore-8.3.0 SciPy-bundle/2019.10-foss-2019b-Python-3.7.4 Tkinter/3.7.4-GCCcore-8.3.0
Last modified on 4th November 2020