anchor.diff:  USER jovyan
   
   # Python packages
  -RUN conda config --add channels r && conda install --yes numpy pandas scikit-learn scikit-image matplotlib scipy seaborn sympy rpy2 \
  -    biopython cython patsy statsmodels cloudpickle dill numba bokeh beautiful-soup && conda clean -yt && pip install --no-cache-dir bioblend
  +RUN conda config --add channels r && conda install --yes biopython rpy2 \
  +    cython patsy statsmodels cloudpickle dill && conda clean -yt && pip install --no-cache-dir bioblend galaxy-ie-helpers
   
   # Now for a python2 environment
  -RUN conda create -p $CONDA_DIR/envs/python2 python=2.7 ipykernel numpy pandas scikit-learn rpy2 \
  -    biopython scikit-image matplotlib scipy seaborn sympy cython patsy statsmodels cloudpickle dill numba bokeh && conda clean -yt && \
  +RUN conda create -p $CONDA_DIR/envs/python2 python=2.7 ipykernel biopython rpy2 \
  +    cython patsy statsmodels cloudpickle dill && conda clean -yt && \
       /bin/bash -c "source activate python2 && pip install --no-cache-dir bioblend galaxy-ie-helpers"
   
   RUN $CONDA_DIR/envs/python2/bin/python \
  
positive.code: RUN iruby register
  
  # R packages
  RUN conda config --add channels r && conda install --yes r-irkernel r-plyr r-devtools r-rcurl r-dplyr r-ggplot2 \
      r-caret rpy2 r-tidyr r-shiny r-rmarkdown r-forecast r-stringr r-rsqlite r-reshape2 r-nycflights13 r-randomforest && conda clean -yt
  
  # IJulia and Julia packages
  RUN julia -e 'Pkg.add("IJulia")' && \
      julia -e 'Pkg.add("Gadfly")' && julia -e 'Pkg.add("RDatasets")'
  
  # IHaskell + IHaskell-Widgets + Dependencies for examples
  RUN cabal update && \
  
negative.code: 
  RUN rm /etc/profile.d/conda.sh
  
  
  # We can get away with just creating this single file and Jupyter will create the rest of the
  # profile for us.
  