https://github.com/Gregor-Mendel-Institute/RKP2021-CMT3
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Tip revision: 89d7e2ea78af1969bb161640baed09296ed2485f authored by Papareddy on 23 April 2021, 11:18:44 UTC
Update README.md
Tip revision: 89d7e2e
Dockerfile
FROM nfcore/base:1.9
LABEL authors="Philip Ewels" \
      description="Docker image containing all software requirements for the nf-core/chipseq pipeline"

# Install the conda environment
COPY environment.yml /
RUN conda env create -f /environment.yml && conda clean -a

# Add conda installation dir to PATH (instead of doing 'conda activate')
ENV PATH /opt/conda/envs/nf-core-chipseq-1.2.1/bin:$PATH

# Dump the details of the installed packages to a file for posterity
RUN conda env export --name nf-core-chipseq-1.2.1 > nf-core-chipseq-1.2.1.yml

# Instruct R processes to use these empty files instead of clashing with a local version
RUN touch .Rprofile
RUN touch .Renviron
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