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Mathieu Dubois
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DOC correct indentation error in doc/index.rst
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doc/index.rst

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* - .. image:: images/nipype_architecture_overview2.png
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:width: 100 %
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- .. container::
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Current neuroimaging software offer users an incredible opportunity to
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analyze data using a variety of different algorithms. However, this has
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resulted in a heterogeneous collection of specialized applications
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without transparent interoperability or a uniform operating interface.
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*Nipype*, an open-source, community-developed initiative under the
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umbrella of NiPy_, is a Python project that provides a uniform interface
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to existing neuroimaging software and facilitates interaction between
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these packages within a single workflow. Nipype provides an environment
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that encourages interactive exploration of algorithms from different
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packages (e.g., ANTS_, SPM_, FSL_, FreeSurfer_, Camino_, MRtrix_, MNE_, AFNI_,
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Slicer_), eases the design of workflows within and between packages, and
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reduces the learning curve necessary to use different packages. Nipype is
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creating a collaborative platform for neuroimaging software development
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in a high-level language and addressing limitations of existing pipeline
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systems.
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*Nipype* allows you to:
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* easily interact with tools from different software packages
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* combine processing steps from different software packages
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* develop new workflows faster by reusing common steps from old ones
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* process data faster by running it in parallel on many cores/machines
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* make your research easily reproducible
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* share your processing workflows with the community
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Current neuroimaging software offer users an incredible opportunity to
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analyze data using a variety of different algorithms. However, this has
10+
resulted in a heterogeneous collection of specialized applications
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without transparent interoperability or a uniform operating interface.
12+
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*Nipype*, an open-source, community-developed initiative under the
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umbrella of NiPy_, is a Python project that provides a uniform interface
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to existing neuroimaging software and facilitates interaction between
16+
these packages within a single workflow. Nipype provides an environment
17+
that encourages interactive exploration of algorithms from different
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packages (e.g., ANTS_, SPM_, FSL_, FreeSurfer_, Camino_, MRtrix_, MNE_, AFNI_,
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Slicer_), eases the design of workflows within and between packages, and
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reduces the learning curve necessary to use different packages. Nipype is
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creating a collaborative platform for neuroimaging software development
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in a high-level language and addressing limitations of existing pipeline
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systems.
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*Nipype* allows you to:
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27+
* easily interact with tools from different software packages
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* combine processing steps from different software packages
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* develop new workflows faster by reusing common steps from old ones
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* process data faster by running it in parallel on many cores/machines
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* make your research easily reproducible
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* share your processing workflows with the community
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.. admonition:: Reference
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