anchor.diff:  # /import will be the universal mount-point for Jupyter
   # The Galaxy instance can copy in data that needs to be present to the Jupyter webserver
   RUN mkdir /import
  -
  -#RUN echo 'export PATH=/opt/conda/bin:$PATH' > /home/jupyter/.profile
  -#RUN echo 'export PYTHONPATH=/home/jupyter/py/:$PYTHONPATH' >> /home/jupyter/.profile
  -
  -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
  
positive.code: 
  
  # Extra Kernels
  RUN pip install --user --no-cache-dir bash_kernel bioblend octave_kernel galaxy-ie-helpers && \
      python -m bash_kernel.install && \
      # add galaxy-ie-helpers to PATH
      echo 'export PATH=/home/jovyan/.local/bin:$PATH' >> /home/jovyan/.bashrc 
  
negative.code:     cython patsy statsmodels cloudpickle dill && conda clean -yt && pip install --no-cache-dir bioblend galaxy-ie-helpers
  
  # Now for a python2 environment
  RUN /bin/bash -c "source activate python2 && \
      conda install ipykernel biopython rpy2 \
      cython patsy statsmodels cloudpickle dill && conda clean -yt && \
      pip install --no-cache-dir bioblend galaxy-ie-helpers"
  
  RUN $CONDA_DIR/envs/python2/bin/python \
      $CONDA_DIR/envs/python2/bin/ipython kernel install --user
  
  # IRuby
  RUN iruby register
  
  # IHaskell + IHaskell-Widgets + Dependencies for examples
  RUN cabal update && \
  