Metadata-Version: 2.1
Name: deepaclive
Version: 0.1.0
Summary: Detecting novel pathogens from NGS reads in real-time during a sequencing run.
Home-page: https://gitlab.com/dacs-hpi/deepac-live
Author: Jakub Bartoszewicz
Author-email: jakub.bartoszewicz@hpi.de
License: MIT
Keywords: deep learning DNA sequencing synthetic biology pathogenicity prediction
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Requires-Python: >=3
Description-Content-Type: text/markdown
Requires-Dist: deepac (>=0.10.1)
Requires-Dist: tensorflow (==1.15)
Requires-Dist: pysam (>=0.15.4)
Requires-Dist: paramiko (>=2.7.1)
Requires-Dist: scikit-learn (>=0.22.1)
Requires-Dist: numpy (>=1.18.1)
Requires-Dist: biopython (>=1.76)

# DeePaC-Live
A DeePaC plugin for real-time analysis of Illumina sequencing runs. Captures HiLive2 output and uses deep neural nets to
 detect novel pathogens directly from NGS reads. See also DeePaC main repo: https://gitlab.com/rki_bioinformatics/DeePaC
  and HiLive2 repo: https://gitlab.com/rki_bioinformatics/HiLive2.

