added zika paper to case studies and use cases

docs/_build_html/_sources/case_studies.txt

@@ -2,6 +2,14 @@
 
 Case Studies
 ------------
+Clustergrammer was built to visualize biological data it is generally applicable for visualizing high-dimensional data in general. Below are links to several example use cases for Clustergrammer:
 
-Clustergrammer was built to visualize high-dimensional biological data, e.g. genome-wide expression data, but is general enough to visualize any type of high dimensional data.
+- `Cancer Cell Line Encyclopedia Gene Expression Data`_
+- `Zika Virus RNA-seq Data Visualization`_
+- `Iris flower dataset`_
+- `MNIST Handwritten Digit Dataset`_
 
+.. _`Cancer Cell Line Encyclopedia Gene Expression Data`: http://amp.pharm.mssm.edu/clustergrammer/CCLE/
+.. _`Zika Virus RNA-seq Data Visualization`: http://nbviewer.jupyter.org/github/maayanlab/Zika-RNAseq-Pipeline/blob/master/Zika.ipynb
+.. _`Iris flower dataset`: http://nbviewer.jupyter.org/github/MaayanLab/iris_clustergrammer_visualization/blob/master/Iris%20Dataset.ipynb
+.. _`MNIST Handwritten Digit Dataset`: https://maayanlab.github.io/MNIST_heatmaps/

docs/_build_html/_sources/index.txt

@@ -25,6 +25,7 @@ Use Cases
 Clustergrammer was built to visualize biological data it is generally applicable for visualizing high-dimensional data in general. Below are links to several example use cases for Clustergrammer (see :ref:`case_studies` for more information):
 
 - `Cancer Cell Line Encyclopedia Gene Expression Data`_
+- `Zika Virus RNA-seq Data Visualization`_
 - `Iris flower dataset`_
 - `MNIST Handwritten Digit Dataset`_
 
@@ -59,12 +60,14 @@ Contents:
 
 
 .. _`homepage`: http://amp.pharm.mssm.edu/clustergrammer/
-.. _`Iris flower dataset`: http://nbviewer.jupyter.org/github/MaayanLab/iris_clustergrammer_visualization/blob/master/Iris%20Dataset.ipynb
-.. _`MNIST Handwritten Digit Dataset`: https://maayanlab.github.io/MNIST_heatmaps/
-.. _`Cancer Cell Line Encyclopedia Gene Expression Data`: http://amp.pharm.mssm.edu/clustergrammer/CCLE/
 .. _`D3.js`: https://d3js.org/
 .. _`Python`: https://www.python.org/
 .. _`nbviewer`: http://nbviewer.jupyter.org/
 .. _`Jupyter`: http://jupyter.org/
 .. _`example visualization`: http://amp.pharm.mssm.edu/clustergrammer/viz_sim_mats/58a492b4a63cb826f0be6476/rc_two_cats.txt
-.. _`example notebook`: http://nbviewer.jupyter.org/github/MaayanLab/clustergrammer-widget/blob/master/Running_clustergrammer_widget.ipynb
+.. _`example notebook`: http://nbviewer.jupyter.org/github/MaayanLab/clustergrammer-widget/blob/master/Running_clustergrammer_widget.ipynb
+
+.. _`Cancer Cell Line Encyclopedia Gene Expression Data`: http://amp.pharm.mssm.edu/clustergrammer/CCLE/
+.. _`Zika Virus RNA-seq Data Visualization`: http://nbviewer.jupyter.org/github/maayanlab/Zika-RNAseq-Pipeline/blob/master/Zika.ipynb
+.. _`Iris flower dataset`: http://nbviewer.jupyter.org/github/MaayanLab/iris_clustergrammer_visualization/blob/master/Iris%20Dataset.ipynb
+.. _`MNIST Handwritten Digit Dataset`: https://maayanlab.github.io/MNIST_heatmaps/

docs/_build_html/case_studies.html

@@ -141,7 +141,13 @@
 
   <div class="section" id="case-studies">
 <span id="id1"></span><h1>Case Studies<a class="headerlink" href="#case-studies" title="Permalink to this headline">¶</a></h1>
-<p>Clustergrammer was built to visualize high-dimensional biological data, e.g. genome-wide expression data, but is general enough to visualize any type of high dimensional data.</p>
+<p>Clustergrammer was built to visualize biological data it is generally applicable for visualizing high-dimensional data in general. Below are links to several example use cases for Clustergrammer:</p>
+<ul class="simple">
+<li><a class="reference external" href="http://amp.pharm.mssm.edu/clustergrammer/CCLE/">Cancer Cell Line Encyclopedia Gene Expression Data</a></li>
+<li><a class="reference external" href="http://nbviewer.jupyter.org/github/maayanlab/Zika-RNAseq-Pipeline/blob/master/Zika.ipynb">Zika Virus RNA-seq Data Visualization</a></li>
+<li><a class="reference external" href="http://nbviewer.jupyter.org/github/MaayanLab/iris_clustergrammer_visualization/blob/master/Iris%20Dataset.ipynb">Iris flower dataset</a></li>
+<li><a class="reference external" href="https://maayanlab.github.io/MNIST_heatmaps/">MNIST Handwritten Digit Dataset</a></li>
+</ul>
 </div>
 
 

docs/_build_html/index.html

@@ -156,6 +156,7 @@ <h2>Use Cases<a class="headerlink" href="#use-cases" title="Permalink to this he
 <p>Clustergrammer was built to visualize biological data it is generally applicable for visualizing high-dimensional data in general. Below are links to several example use cases for Clustergrammer (see <a class="reference internal" href="case_studies.html#case-studies"><span class="std std-ref">Case Studies</span></a> for more information):</p>
 <ul class="simple">
 <li><a class="reference external" href="http://amp.pharm.mssm.edu/clustergrammer/CCLE/">Cancer Cell Line Encyclopedia Gene Expression Data</a></li>
+<li><a class="reference external" href="http://nbviewer.jupyter.org/github/maayanlab/Zika-RNAseq-Pipeline/blob/master/Zika.ipynb">Zika Virus RNA-seq Data Visualization</a></li>
 <li><a class="reference external" href="http://nbviewer.jupyter.org/github/MaayanLab/iris_clustergrammer_visualization/blob/master/Iris%20Dataset.ipynb">Iris flower dataset</a></li>
 <li><a class="reference external" href="https://maayanlab.github.io/MNIST_heatmaps/">MNIST Handwritten Digit Dataset</a></li>
 </ul>