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Kipoi
kipoi
Container
Kipoi
kipoi

Kipoi (pronounce: kípi; from the Greek κήποι: gardens) is an API and a repository of ready-to-use trained models for genomics. It currently contains 2131 different models, covering canonical predictive tasks in transcriptional and post-transcriptional gene regulation. Kipoi's API is implemented as a python package (github.com/kipoi/kipoi) and it is also accessible from the command line or R.

LayerLabelCreated
sha256:c4236217c8a655152b43c32d33ddad5615718b11321de8213e2ab814082d8f64WORKDIR
/host_pwd
05/16/2019 3:34 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENTRYPOINT
/etc/entrypoint.sh
05/16/2019 3:34 PM UTC
sha256:86cd1cd16d6230278197d7f19cac63efa85c9f6378df19c559378d03d57e076dCOPY
multi:818c198f8035680e009daab10405f4f8ebd7f59fb9e930bd024d7cbab647473c in /usr/src/
05/16/2019 3:34 PM UTC
sha256:15cd4a657038738b1f1194621a29efeb3003872aaa5c5815950fde9e9a498701RUN
conda init bash &&
  echo "source activate kipoi-py3-keras2" > ~/.bashrc &&
  /bin/echo -e '#!/bin/bash -l\n' 'exec "$@"\n' > /etc/entrypoint.sh &&
  chmod a+x /etc/entrypoint.sh
05/16/2019 2:11 PM UTC
sha256:3b4678c0db8cb0c8f43a08cb0bd251300bc17206c1a8409de29b41ae685692d0COPY
dir:347f102922b3a2e3d32d85f0a65b3a93650f695a7ed5dc489fe77629c2dc1a7f in /opt/conda
05/16/2019 2:11 PM UTC
sha256:5d22d733bfc3d6780ef422c7db0ca1c2b46d912cc73369ffea403b488f14d49aRUN
apt-get update -y &&
  DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends git &&
  rm -rf /var/lib/apt/lists/*
05/16/2019 2:10 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/opt/conda/lib/python3.6/site-packages:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 PATH=/opt/conda/envs/kipoi-dev/bin:/opt/conda/bin/:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin PYTHON_VERSION=3.6
05/16/2019 2:10 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_REQUIRE_CUDA=cuda>=10.0 brand=tesla,driver>=384,driver<385 brand=tesla,driver>=410,driver<411
05/14/2019 6:41 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_DRIVER_CAPABILITIES=compute,utility
05/14/2019 6:41 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_VISIBLE_DEVICES=all
05/14/2019 6:41 PM UTC

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