BEAR Applications

Deepbinner 0.2.0-foss-2018b-Python-3.6.6

Deprecated: Use of this version of Deepbinner is deprecated. More information on our Applications Support and Retention Policy.

There is a newer version of Deepbinner

Deepbinner is a tool for demultiplexing barcoded Oxford Nanopore sequencing reads. It does this with a deep convolutional neural network classifier, using many of the architectural advances that have proven successful in image classification.

Accessing Deepbinner 0.2.0-foss-2018b-Python-3.6.6

To load the module for Deepbinner 0.2.0-foss-2018b-Python-3.6.6 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):

module load Deepbinner/0.2.0-foss-2018b-Python-3.6.6

BEAR Apps Version

2018b

Architectures

EL8-cascadelake — EL8-haswell

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.

Extensions

• Deepbinner 0.2.0

More Information

For more information visit the Deepbinner website.

Dependencies

This version of Deepbinner has a direct dependency on: foss/2018b h5py/2.8.0-foss-2018b-Python-3.6.6 HDF5/1.10.2-foss-2018b Keras/2.2.4-foss-2018b-Python-3.6.6 Python/3.6.6-foss-2018b wheel/0.31.1-foss-2018b-Python-3.6.6

Other Versions

These versions of Deepbinner 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 3rd June 2019