Deepbinner c261ae9-foss-2019b-Python-3.7.4

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 c261ae9-foss-2019b-Python-3.7.4

To load the module for Deepbinner c261ae9-foss-2019b-Python-3.7.4 please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):

module load Deepbinner/c261ae9-foss-2019b-Python-3.7.4

BEAR Apps Version



  • Deepbinner c261ae9
  • mappy 2.17
  • noise 1.2.2

More Information

For more information visit the Deepbinner website.


This version of Deepbinner has a direct dependency on: edlib/1.3.8.post1-foss-2019b-Python-3.7.4 foss/2019b Keras/2.3.1-foss-2019b-TensorFlow-1.15.0-Python-3.7.4 Python/3.7.4-GCCcore-8.3.0 TensorFlow/1.15.0-foss-2019b-Python-3.7.4

Other Versions

These versions of Deepbinner are available on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Version BEAR Apps Version
0.2.0-foss-2018b-Python-3.6.6 2018b

Last modified on 28th April 2020