Deepbinner c261ae9-foss-2019b-Python-3.7.4Deepbinner 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, BEARCloud 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
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
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.
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Last modified on 28th April 2020