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Update the README installation instructions.
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README.rst

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@@ -50,13 +50,13 @@ M Reuter, EC Neto, A Keshavan. 2017.
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------------------------------------------------------------------------------
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Getting help
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------------------------------------------------------------------------------
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If you have any questions about Mindboggle, please post to
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General questions about Mindboggle? Please post to
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`NeuroStars <https://neurostars.org/tags/mindboggle/>`_ with the tag
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"mindboggle". If you have found a bug, big or small, please
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"mindboggle". Found a bug, big or small? Please
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`submit an issue <https://github.com/nipy/mindboggle/issues>`_ on GitHub.
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To run the mindboggle jupyter notebook tutorial, first install the mindboggle
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docker container (see below) and enter the bash shell of the container
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To run the Mindboggle jupyter notebook tutorial, first install the Mindboggle
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Docker container (see below) and enter the bash shell of the container
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from your $HOST (e.g., /Users/arno)::
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docker run --rm -ti -v $HOST:/home/jovyan/work -p 8888:8888 --entrypoint /bin/bash nipy/mindboggle
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*Note 2: You may need to increase memory allocated by Docker to at least 5GB.
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For example: By default, Docker for `Mac is set to use 2 GB runtime memory <https://docs.docker.com/docker-for-mac/>`_.*
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3. Optionally download sample data. To try out the ``mindboggle`` examples
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3. Recommended: download sample data. To try out the ``mindboggle`` examples
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below, download and unzip the directory of example input data
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`mindboggle_input_example.zip <https://osf.io/3xfb8/?action=download&version=1>`_ (455 MB).
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For example MRI data to preprocess with FreeSurfer and ANTs software,
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download and unzip
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`example_mri_data.zip <https://osf.io/k3m94/?action=download&version=1>`_ (29 MB).
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4. Optionally set environment variables for clarity in the commands below
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(modify accordingly, except for DOCK)::
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4. Recommended: set environment variables for clarity in the commands below
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(modify accordingly, except for DOCK -- careful, this step is tricky!)::
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HOST=/Users/binarybottle # path on host to access input/output
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DOCK=/home/jovyan/work # path to HOST from Docker container

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