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NVIDIA
NVIDIA
Single Cell Examples
Container
NVIDIA
NVIDIA
Single Cell Examples

Contains example notebooks demonstrating the use of RAPIDS for GPU-accelerated analysis of single-cell sequencing data.

LayerLabelCreated
b6e85d6eb67aa70172de8385529eeb4cb36e2408493348deb00f6ca2e6b99decRUN
conda
07/19/2022 4:24 PM UTC
6895e6f866edc6fd8c4e5ae772ddb5666a700f76e1a0ca3d0a8f3923cd17f5e7RUN
conda run -n rapids /bin/bash -c #(nop) ENV PATH=/opt/conda/envs/rapids/bin/:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
07/19/2022 4:24 PM UTC
9a0969ae02d5e533a70858f02c161b7ba174781d17834ae22f439ef75d165f0cRUN
conda run -n rapids /bin/bash -c #(nop) ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda-11.2/compat/
07/19/2022 4:24 PM UTC
da09260daae87e60d49484972376c3f2ccd88575e8e95170a5b48d3095815f5bRUN
GIT_BRANCH=master conda run -n rapids /bin/bash -c source activate rapids &&
  python3 -m ipykernel install --user --name=RAPIDS
07/19/2022 4:24 PM UTC
b12368ef50bd55c07d47428b2199218d8e862b0ced3c8f7bdcc96a665c203f5fRUN
conda run -n rapids /bin/bash -c #(nop) SHELL [conda run -n rapids /bin/bash -c]
07/19/2022 4:24 PM UTC
bf99739c78d95d0fbf5ac0430a340c3305d72cf3e1adf7f8b67fde3a1a89b6f4RUN
GIT_BRANCH=master /bin/bash -c git checkout ${GIT_BRANCH} &&
  git pull
07/19/2022 4:24 PM UTC
49fc70e3c981b37d1c82630bd1b3cad0b85ce52986d8e948415f59567530ae43RUN
/bin/bash -c #(nop) WORKDIR /workspace/rapids-single-cell-examples
07/19/2022 4:24 PM UTC
2bdf3341a370cbcded9d4012b42c02513052674fd180d74beee96c2be93175e9RUN
GIT_BRANCH=master /bin/bash -c git clone https://github.com/clara-parabricks/rapids-single-cell-examples.git rapids-single-cell-examples
07/19/2022 4:24 PM UTC
2858108cca79a8190ae0380b74e0651566a54cb8d68023975d942b645bee695fRUN
/bin/bash -c #(nop) WORKDIR /workspace
07/19/2022 4:23 PM UTC
599fcc49d95e9c3d39d21456b752d16459d28c591dabaf08c2c54e2d1d4c67acRUN
/bin/bash -c #(nop) ENV HOME=/workspace
07/19/2022 4:23 PM UTC
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