ARG CUDA=11.7 FROM nvidia/cuda:${CUDA}.1-cudnn8-devel-ubuntu22.04 USER root SHELL ["/bin/bash", "-c"] WORKDIR /home RUN mkdir -p /home/omic WORKDIR /home/omic ARG DEBIAN_FRONTEND=noninteractive RUN apt-get update -y && apt-get install -y --no-install-recommends \ build-essential \ cmake \ curl \ git \ wget \ ca-certificates \ hmmer \ kalign \ tzdata \ python3-pip \ python3-dev \ python3-opencv \ libglib2.0-0 \ && apt-get clean \ && rm -rf /var/lib/apt/lists/* # Add the NVIDIA GPG key directly RUN wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.0-1_all.deb RUN dpkg -i cuda-keyring_1.0-1_all.deb && rm cuda-keyring_1.0-1_all.deb RUN apt-get -y update && \ apt-get install -y --no-install-recommends cuda-command-line-tools-11-7 RUN wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh \ && bash miniconda.sh -b -p /opt/conda \ && rm miniconda.sh \ && ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh \ && echo ". /opt/conda/etc/profile.d/conda.sh" >> ~/.bashrc \ && echo "conda activate base" >> ~/.bashrc \ && find /opt/conda/ -follow -type f -name '*.a' -delete \ && find /opt/conda/ -follow -type f -name '*.js.map' -delete \ && /opt/conda/bin/conda clean -afy ENV PATH /opt/conda/bin:$PATH RUN conda update -y -n base -c defaults conda # main conda env (rna2protexpresson) RUN conda create -n rna2protexpresson python=3.9 ENV PATH "$PATH:/opt/conda/envs/rna2protexpresson/bin" RUN echo "source activate rna2protexpresson" >> ~/.bashrc RUN conda clean --all -f -y # Upgrade apt-get RUN apt-get -y update && apt-get install -y ca-certificates && update-ca-certificates # Upgrade pip RUN python3 -m pip install --upgrade pip # Install PyTorch and torchvision RUN /opt/conda/envs/rna2protexpresson/bin/python3 -m pip install torch torchvision torchaudio -f https://download.pytorch.org/whl/cu111/torch_stable.html #Inatall packages RUN /opt/conda/envs/rna2protexpresson/bin/python3 -m pip install axial_attention thefuzz RUN conda install -n rna2protexpresson -c anaconda pandas numpy scikit-learn joblib RUN /opt/conda/envs/rna2protexpresson/bin/python3 -m pip install argparse # make rna2protexpresson RUN mkdir -p /home/omic/rna2protexpresson WORKDIR /home/omic/rna2protexpresson # Package into python script for running in nextflow COPY rna2protexpression.py /home/omic/rna2protexpression/rna2protexpression.py RUN chmod +x /home/omic/rna2protexpression/rna2protexpression.py #COPY model &˛ preprocessing COPY tissue2number.joblib . COPY ensg2number.joblib . COPY go_df_work.csv . COPY go_term_protein_expression_model.pth .