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FIX: correct multiple appeareance of HOME, GITHUB and Nipype at bottom of html site
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docs/index.html

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}
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/* Flexible box model classes */
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/* Taken from Alex Russell http://infrequently.org/2009/08/css-3-progress/ */
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/* This file is a compatability layer. It allows the usage of flexible box
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/* This file is a compatability layer. It allows the usage of flexible box
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model layouts accross multiple browsers, including older browsers. The newest,
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universal implementation of the flexible box model is used when available (see
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`Modern browsers` comments below). Browsers that are known to implement this
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`Modern browsers` comments below). Browsers that are known to implement this
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new spec completely include:
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Firefox 28.0+
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background: #f7f7f7;
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border-top: 1px solid #cfcfcf;
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border-bottom: 1px solid #cfcfcf;
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/* This injects handle bars (a short, wide = symbol) for
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/* This injects handle bars (a short, wide = symbol) for
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the resize handle. */
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}
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div#pager .ui-resizable-handle::after {
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.highlight .il { color: #666666 } /* Literal.Number.Integer.Long */
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</style>
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<style type="text/css">
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/* Temporary definitions which will become obsolete with Notebook release 5.0 */
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.ansi-black-fg { color: #3E424D; }
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</style>
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&lt;style&gt;.container { width:75% !important; }&lt;/style&gt;
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&lt;link rel=&#39;stylesheet&#39; type=&#39;text/css&#39; href=&#39;static/css/mobile.css&#39;&gt;
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&lt;link rel=&#39;stylesheet&#39; type=&#39;text/css&#39; href=&#39;static/css/homepage.css&#39;&gt;
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&lt;body&gt;
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&lt;article id=&quot;homepage&quot;&gt;
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&lt;a id=&quot;library-section&quot;&gt;&lt;/a&gt;
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you everything so that you can start creating your own workflows in no time. We recommend that you start with
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the introduction section to familiarize yourself with the tools used in this tutorial and then move on to the
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basic concepts section to learn everything you need to know for your everyday life with Nipype. The workflow
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examples section shows you a real example how you can use Nipype to analyze an actual dataset. For a very
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examples section shows you a real example how you can use Nipype to analyze an actual dataset. For a very
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quick non-imaging introduction, you can check the Nipype Quickstart notebooks in the introduciton section.
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&lt;/p&gt;&lt;p&gt;
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All of the notebooks used in this tutorial can be found on &lt;a href=&quot;https://github.com/miykael/nipype_tutorial&quot;&gt;github.com/miykael/nipype_tutorial&lt;/a&gt;.
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But if you want to have the real experience and want to go through the computations by yourself, we highly
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recommend you to use a Docker container. More about the Docker image that can be used to run the tutorial can be found
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recommend you to use a Docker container. More about the Docker image that can be used to run the tutorial can be found
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&lt;a href=&quot;https://miykael.github.io/nipype_tutorial/notebooks/introduction_docker.html&quot;&gt;here&lt;/a&gt;.
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This docker container gives you the opportunity to adapt the commands to your liking and discover the flexibility and real power of
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Nipype yourself.
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with working Python 3 software (including Nipype, dipy, matplotlib, nibabel, nipy, numpy, pandas, scipy, seaborn and more),
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FSL, ANTs and SPM12 (no license needed). We used &lt;a href=&quot;https://github.com/kaczmarj/neurodocker&quot;&gt;Neurodocker&lt;/a&gt; to create this docker image.
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&lt;/p&gt;&lt;p&gt;
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If you do not want to run tutorial locally, you can also use
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&lt;a href=&quot;https://mybinder.org/v2/gh/miykael/nipype_tutorial/master&quot;&gt;Binder service&lt;/a&gt;.
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Binder automatically launch the Docker container for you and you have access to all of the notebooks.
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Note, that Binder provides between 1G and 4G RAM memory, some notebooks from Workflow Examples might not work.
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If you do not want to run tutorial locally, you can also use
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&lt;a href=&quot;https://mybinder.org/v2/gh/miykael/nipype_tutorial/master&quot;&gt;Binder service&lt;/a&gt;.
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Binder automatically launch the Docker container for you and you have access to all of the notebooks.
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Note, that Binder provides between 1G and 4G RAM memory, some notebooks from Workflow Examples might not work.
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All notebooks from Introduction and Basic Concepts parts should work.
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&lt;/p&gt;&lt;p&gt;
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For everything that isn&#39;t covered in this tutorial, check out the &lt;a href=&quot;http://nipype.readthedocs.io/en/latest/&quot;&gt;main homepage&lt;/a&gt;.
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&lt;!--The following code will cause the code cell to disappear--&gt;
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code_show = !code_show
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}
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$( document ).ready(code_toggle);
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&lt;/script&gt;
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<style>.container { width:75% !important; }</style>
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<link rel='stylesheet' type='text/css' href='static/css/mobile.css'>
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<link rel='stylesheet' type='text/css' href='static/css/homepage.css'>
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<body>
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<article id="homepage">
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<a id="library-section"></a>
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you everything so that you can start creating your own workflows in no time. We recommend that you start with
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the introduction section to familiarize yourself with the tools used in this tutorial and then move on to the
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basic concepts section to learn everything you need to know for your everyday life with Nipype. The workflow
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examples section shows you a real example how you can use Nipype to analyze an actual dataset. For a very
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examples section shows you a real example how you can use Nipype to analyze an actual dataset. For a very
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quick non-imaging introduction, you can check the Nipype Quickstart notebooks in the introduciton section.
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</p><p>
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All of the notebooks used in this tutorial can be found on <a href="https://github.com/miykael/nipype_tutorial">github.com/miykael/nipype_tutorial</a>.
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But if you want to have the real experience and want to go through the computations by yourself, we highly
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recommend you to use a Docker container. More about the Docker image that can be used to run the tutorial can be found
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recommend you to use a Docker container. More about the Docker image that can be used to run the tutorial can be found
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<a href="https://miykael.github.io/nipype_tutorial/notebooks/introduction_docker.html">here</a>.
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This docker container gives you the opportunity to adapt the commands to your liking and discover the flexibility and real power of
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Nipype yourself.
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with working Python 3 software (including Nipype, dipy, matplotlib, nibabel, nipy, numpy, pandas, scipy, seaborn and more),
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FSL, ANTs and SPM12 (no license needed). We used <a href="https://github.com/kaczmarj/neurodocker">Neurodocker</a> to create this docker image.
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</p><p>
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If you do not want to run tutorial locally, you can also use
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<a href="https://mybinder.org/v2/gh/miykael/nipype_tutorial/master">Binder service</a>.
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Binder automatically launch the Docker container for you and you have access to all of the notebooks.
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Note, that Binder provides between 1G and 4G RAM memory, some notebooks from Workflow Examples might not work.
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If you do not want to run tutorial locally, you can also use
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<a href="https://mybinder.org/v2/gh/miykael/nipype_tutorial/master">Binder service</a>.
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Binder automatically launch the Docker container for you and you have access to all of the notebooks.
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Note, that Binder provides between 1G and 4G RAM memory, some notebooks from Workflow Examples might not work.
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All notebooks from Introduction and Basic Concepts parts should work.
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</p><p>
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For everything that isn't covered in this tutorial, check out the <a href="http://nipype.readthedocs.io/en/latest/">main homepage</a>.
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</div>
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</article>
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</body><div class="h3" style="right:0;bottom:0;left:0;padding:1rem;text-align:center;"><p style="white-space:pre"><a href="https://miykael.github.io/nipype_tutorial/">Home</a>&emsp;|&emsp;<a href="https://github.com/miykael/nipype_tutorial">github</a>&emsp;|&emsp;<a href="http://nipype.readthedocs.io">Nipype</a></p></div>
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</body>
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code_show = !code_show
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</div>
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</body><div class="h3" style="right:0;bottom:0;left:0;padding:1rem;text-align:center;"><p style="white-space:pre"><a href="https://miykael.github.io/nipype_tutorial/">Home</a>&emsp;|&emsp;<a href="https://github.com/miykael/nipype_tutorial">github</a>&emsp;|&emsp;<a href="http://nipype.readthedocs.io">Nipype</a></p></div>
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docs/notebooks/advanced_aws.html

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/* This file is a compatability layer. It allows the usage of flexible box
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/* This file is a compatability layer. It allows the usage of flexible box
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model layouts accross multiple browsers, including older browsers. The newest,
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universal implementation of the flexible box model is used when available (see
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`Modern browsers` comments below). Browsers that are known to implement this
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`Modern browsers` comments below). Browsers that are known to implement this
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new spec completely include:
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background: #f7f7f7;
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<style type="text/css">
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/* Temporary definitions which will become obsolete with Notebook release 5.0 */
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</body><div class="h3" style="right:0;bottom:0;left:0;padding:1rem;text-align:center;"><p style="white-space:pre"><a href="https://miykael.github.io/nipype_tutorial/">Home</a>&emsp;|&emsp;<a href="https://github.com/miykael/nipype_tutorial">github</a>&emsp;|&emsp;<a href="http://nipype.readthedocs.io">Nipype</a></p></div><div class="h3" style="right:0;bottom:0;left:0;padding:1rem;text-align:center;"><p style="white-space:pre"><a href="https://miykael.github.io/nipype_tutorial/">Home</a>&emsp;|&emsp;<a href="https://github.com/miykael/nipype_tutorial">github</a>&emsp;|&emsp;<a href="http://nipype.readthedocs.io">Nipype</a></p></div>
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</body><div class="h3" style="right:0;bottom:0;left:0;padding:1rem;text-align:center;"><p style="white-space:pre"><a href="https://miykael.github.io/nipype_tutorial/">Home</a>&emsp;|&emsp;<a href="https://github.com/miykael/nipype_tutorial">github</a>&emsp;|&emsp;<a href="http://nipype.readthedocs.io">Nipype</a></p></div>
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docs/notebooks/advanced_command_line_interface.html

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/* This file is a compatability layer. It allows the usage of flexible box
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/* This file is a compatability layer. It allows the usage of flexible box
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model layouts accross multiple browsers, including older browsers. The newest,
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universal implementation of the flexible box model is used when available (see
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`Modern browsers` comments below). Browsers that are known to implement this
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`Modern browsers` comments below). Browsers that are known to implement this
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new spec completely include:
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background: #f7f7f7;
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</style>
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<style type="text/css">
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/* Temporary definitions which will become obsolete with Notebook release 5.0 */
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</body><div class="h3" style="right:0;bottom:0;left:0;padding:1rem;text-align:center;"><p style="white-space:pre"><a href="https://miykael.github.io/nipype_tutorial/">Home</a>&emsp;|&emsp;<a href="https://github.com/miykael/nipype_tutorial">github</a>&emsp;|&emsp;<a href="http://nipype.readthedocs.io">Nipype</a></p></div><div class="h3" style="right:0;bottom:0;left:0;padding:1rem;text-align:center;"><p style="white-space:pre"><a href="https://miykael.github.io/nipype_tutorial/">Home</a>&emsp;|&emsp;<a href="https://github.com/miykael/nipype_tutorial">github</a>&emsp;|&emsp;<a href="http://nipype.readthedocs.io">Nipype</a></p></div>
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</body><div class="h3" style="right:0;bottom:0;left:0;padding:1rem;text-align:center;"><p style="white-space:pre"><a href="https://miykael.github.io/nipype_tutorial/">Home</a>&emsp;|&emsp;<a href="https://github.com/miykael/nipype_tutorial">github</a>&emsp;|&emsp;<a href="http://nipype.readthedocs.io">Nipype</a></p></div>
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