Deploying to gh-pages from @ 6cae490 🚀

Author: ielis

latest/_modules/gpsea/preprocessing/_config.html

@@ -88,7 +88,7 @@ Load phenopackets
 We can create a cohort starting from a collection of `Phenopacket` objects
 provided by Python `Phenopackets <https://pypi.org/project/phenopackets>`_ library.
 For the purpose of this example, we will load a cohort of patients with pathogenic mutations in *RERE* gene
-which are included in the release `0.1.18` of `Phenopacket Store <https://github.com/monarch-initiative/phenopacket-store>`_.
+which are included in the release `0.1.19` of `Phenopacket Store <https://github.com/monarch-initiative/phenopacket-store>`_.
 We use `Phenopacket Store Toolkit <https://github.com/monarch-initiative/phenopacket-store-toolkit>`_
 (``ppktstore`` in the code) to reduce the boilerplate code
 associated with extracting phenopacket data from Phenopacket Store release:

latest/_sources/user-guide/input-data.rst.txt

@@ -156,6 +156,7 @@ <h2>Subpackages<a class="headerlink" href="#subpackages" title="Link to this hea
 <li class="toctree-l2"><a class="reference internal" href="gpsea.preprocessing.html#gpsea.preprocessing.configure_cohort_creator"><code class="docutils literal notranslate"><span class="pre">configure_cohort_creator()</span></code></a></li>
 <li class="toctree-l2"><a class="reference internal" href="gpsea.preprocessing.html#gpsea.preprocessing.configure_default_tx_coordinate_service"><code class="docutils literal notranslate"><span class="pre">configure_default_tx_coordinate_service()</span></code></a></li>
 <li class="toctree-l2"><a class="reference internal" href="gpsea.preprocessing.html#gpsea.preprocessing.configure_default_functional_annotator"><code class="docutils literal notranslate"><span class="pre">configure_default_functional_annotator()</span></code></a></li>
+<li class="toctree-l2"><a class="reference internal" href="gpsea.preprocessing.html#gpsea.preprocessing.configure_default_imprecise_sv_functional_annotator"><code class="docutils literal notranslate"><span class="pre">configure_default_imprecise_sv_functional_annotator()</span></code></a></li>
 <li class="toctree-l2"><a class="reference internal" href="gpsea.preprocessing.html#gpsea.preprocessing.configure_default_protein_metadata_service"><code class="docutils literal notranslate"><span class="pre">configure_default_protein_metadata_service()</span></code></a></li>
 <li class="toctree-l2"><a class="reference internal" href="gpsea.preprocessing.html#gpsea.preprocessing.configure_protein_metadata_service"><code class="docutils literal notranslate"><span class="pre">configure_protein_metadata_service()</span></code></a></li>
 <li class="toctree-l2"><a class="reference internal" href="gpsea.preprocessing.html#gpsea.preprocessing.VariantCoordinateFinder"><code class="docutils literal notranslate"><span class="pre">VariantCoordinateFinder</span></code></a></li>

latest/apidocs/gpsea.html

@@ -270,6 +270,8 @@ <h2 id="C">C</h2>
       <li><a href="apidocs/gpsea.view.html#gpsea.view.configure_default_cohort_artist">configure_default_cohort_artist() (in module gpsea.view)</a>
 </li>
       <li><a href="apidocs/gpsea.preprocessing.html#gpsea.preprocessing.configure_default_functional_annotator">configure_default_functional_annotator() (in module gpsea.preprocessing)</a>
+</li>
+      <li><a href="apidocs/gpsea.preprocessing.html#gpsea.preprocessing.configure_default_imprecise_sv_functional_annotator">configure_default_imprecise_sv_functional_annotator() (in module gpsea.preprocessing)</a>
 </li>
       <li><a href="apidocs/gpsea.preprocessing.html#gpsea.preprocessing.configure_default_protein_metadata_service">configure_default_protein_metadata_service() (in module gpsea.preprocessing)</a>
 </li>

latest/apidocs/gpsea.preprocessing.html

@@ -179,7 +179,7 @@ <h3>Load phenopackets<a class="headerlink" href="#load-phenopackets" title="Link
 <p>We can create a cohort starting from a collection of <cite>Phenopacket</cite> objects
 provided by Python <a class="reference external" href="https://pypi.org/project/phenopackets">Phenopackets</a> library.
 For the purpose of this example, we will load a cohort of patients with pathogenic mutations in <em>RERE</em> gene
-which are included in the release <cite>0.1.18</cite> of <a class="reference external" href="https://github.com/monarch-initiative/phenopacket-store">Phenopacket Store</a>.
+which are included in the release <cite>0.1.19</cite> of <a class="reference external" href="https://github.com/monarch-initiative/phenopacket-store">Phenopacket Store</a>.
 We use <a class="reference external" href="https://github.com/monarch-initiative/phenopacket-store-toolkit">Phenopacket Store Toolkit</a>
 (<code class="docutils literal notranslate"><span class="pre">ppktstore</span></code> in the code) to reduce the boilerplate code
 associated with extracting phenopacket data from Phenopacket Store release:</p>