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2 | 2 |
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3 | 3 | * - .. image:: images/nipype_architecture_overview2.png
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4 | 4 | :width: 100 %
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| 5 | + |
5 | 6 | - .. container::
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6 | 7 |
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7 |
| - Current neuroimaging software offer users an incredible opportunity to |
8 |
| - analyze data using a variety of different algorithms. However, this has |
9 |
| - resulted in a heterogeneous collection of specialized applications |
10 |
| - without transparent interoperability or a uniform operating interface. |
11 |
| - |
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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. |
23 |
| - |
24 |
| - *Nipype* allows you to: |
25 |
| - |
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| - * easily interact with tools from different software packages |
27 |
| - * combine processing steps from different software packages |
28 |
| - * develop new workflows faster by reusing common steps from old ones |
29 |
| - * process data faster by running it in parallel on many cores/machines |
30 |
| - * make your research easily reproducible |
31 |
| - * share your processing workflows with the community |
| 8 | + Current neuroimaging software offer users an incredible opportunity to |
| 9 | + analyze data using a variety of different algorithms. However, this has |
| 10 | + resulted in a heterogeneous collection of specialized applications |
| 11 | + without transparent interoperability or a uniform operating interface. |
| 12 | + |
| 13 | + *Nipype*, an open-source, community-developed initiative under the |
| 14 | + umbrella of NiPy_, is a Python project that provides a uniform interface |
| 15 | + 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 |
| 18 | + packages (e.g., ANTS_, SPM_, FSL_, FreeSurfer_, Camino_, MRtrix_, MNE_, AFNI_, |
| 19 | + Slicer_), eases the design of workflows within and between packages, and |
| 20 | + reduces the learning curve necessary to use different packages. Nipype is |
| 21 | + creating a collaborative platform for neuroimaging software development |
| 22 | + in a high-level language and addressing limitations of existing pipeline |
| 23 | + systems. |
| 24 | + |
| 25 | + *Nipype* allows you to: |
| 26 | + |
| 27 | + * easily interact with tools from different software packages |
| 28 | + * combine processing steps from different software packages |
| 29 | + * develop new workflows faster by reusing common steps from old ones |
| 30 | + * process data faster by running it in parallel on many cores/machines |
| 31 | + * make your research easily reproducible |
| 32 | + * share your processing workflows with the community |
32 | 33 |
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33 | 34 | .. admonition:: Reference
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34 | 35 |
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