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intro/nipreps/index.html

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@@ -1043,7 +1043,7 @@ <h2 id="leveraging-bids">Leveraging BIDS<a class="headerlink" href="#leveraging-
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<h2 id="architecture">Architecture<a class="headerlink" href="#architecture" title="Permanent link">&para;</a></h2>
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<p>The <em>NiPreps</em> framework (Figure 1) encompasses a wide array of software projects organized into three layers of scientific software:</p>
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<ul>
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<li><strong>Software infrastructure</strong>: including quite mature projects such as <a href="https://nipype.readthedocs.io/" title="NiPype documentation"><em>NiPype</em></a> and <a href="https://nibabel.readthedocs.io/" title="NiBabel documentation"><em>NiBabel</em></a>; the standard specifications of the Brain Imaging Data Structure (BIDS, and BIDS-Derivatives); and some other tools such as <em>NiTransforms</em> or <em>TemplateFlow</em>, under development.
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<li><strong>Software infrastructure</strong>: including quite mature projects such as <a href="https://nipype.readthedocs.io/" title="NiPype documentation"><em>NiPype</em></a> and <a href="https://nipy.org/nibabel/" title="NiBabel documentation"><em>NiBabel</em></a>; the standard specifications of the Brain Imaging Data Structure (BIDS, and BIDS-Derivatives); and some other tools such as <em>NiTransforms</em> or <em>TemplateFlow</em>, under development.
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These tools deliver low-level interfaces (e.g., data access to images and spatial transforms) and utilities (see Figure 1).</li>
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<li><strong>Middleware</strong>: these are utilities that generalize their functionalities across the end-user tools.
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These utilities cover foundational processing methodologies (e.g., <a href="https://www.nipreps.org/niworkflows/" title="NiWorkflows documentation"><em>NiWorkflows</em></a> and <a href="https://www.nipreps.org/sdcflows/" title="SDCflows documentation"><em>SDCflows</em></a>), the crowdsourcing of metadata (e.g., <em>MRIQC Web-API</em>), and the support for deep learning models (<em>MRIQC-nets</em>).</li>

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