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add biology specific features to intro paragraph
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cornhundred committed Feb 15, 2017
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Welcome to Clustergrammer's Documentation!
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Clustergrammer is a web-based tool for visualizing high-dimensional data (e.g. a matrix) as an interactive and shareable hierarchically clustered heatmap. Clustergrammer's front-end (:ref:`clustergrammer_js`) is built using `D3.js`_ and its back-end (:ref:`clustergrammer_py`) is built using `Python`_. Clustergrammer produces highly interactive visualizations that enable intuitive exploration of high-dimensional data. Press play or interact with the demo below to see some of Clustergrammer's interactive features:
Clustergrammer is a web-based tool for visualizing high-dimensional data (e.g. a matrix) as an interactive and shareable hierarchically clustered heatmap. Clustergrammer's front-end (:ref:`clustergrammer_js`) is built using `D3.js`_ and its back-end (:ref:`clustergrammer_py`) is built using `Python`_. Clustergrammer produces highly interactive visualizations that enable intuitive exploration of high-dimensional data and has several optional biology-specific features (e.g. enrichment analysis, see :ref:`biology_specific_features`) to facilitate the exploration of gene-level biological data. Press play or interact with the gene-expression demo below to see some of Clustergrammer's interactive features:

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<div class="section" id="welcome-to-clustergrammer-s-documentation">
<h1>Welcome to Clustergrammer&#8217;s Documentation!<a class="headerlink" href="#welcome-to-clustergrammer-s-documentation" title="Permalink to this headline"></a></h1>
<p>Clustergrammer is a web-based tool for visualizing high-dimensional data (e.g. a matrix) as an interactive and shareable hierarchically clustered heatmap. Clustergrammer&#8217;s front-end (<a class="reference internal" href="clustergrammer_js.html#clustergrammer-js"><span class="std std-ref">Clustergrammer-JS</span></a>) is built using <a class="reference external" href="https://d3js.org/">D3.js</a> and its back-end (<a class="reference internal" href="clustergrammer_py.html#clustergrammer-py"><span class="std std-ref">Clustergrammer-PY</span></a>) is built using <a class="reference external" href="https://www.python.org/">Python</a>. Clustergrammer produces highly interactive visualizations that enable intuitive exploration of high-dimensional data. Press play or interact with the demo below to see some of Clustergrammer&#8217;s interactive features:</p>
<p>Clustergrammer is a web-based tool for visualizing high-dimensional data (e.g. a matrix) as an interactive and shareable hierarchically clustered heatmap. Clustergrammer&#8217;s front-end (<a class="reference internal" href="clustergrammer_js.html#clustergrammer-js"><span class="std std-ref">Clustergrammer-JS</span></a>) is built using <a class="reference external" href="https://d3js.org/">D3.js</a> and its back-end (<a class="reference internal" href="clustergrammer_py.html#clustergrammer-py"><span class="std std-ref">Clustergrammer-PY</span></a>) is built using <a class="reference external" href="https://www.python.org/">Python</a>. Clustergrammer produces highly interactive visualizations that enable intuitive exploration of high-dimensional data and has several optional biology-specific features (e.g. enrichment analysis, see <a class="reference internal" href="biology_specific_features.html#biology-specific-features"><span class="std std-ref">Biology-Specific Features</span></a>) to facilitate the exploration of gene-level biological data. Press play or interact with the gene-expression demo below to see some of Clustergrammer&#8217;s interactive features:</p>
<iframe id='iframe_preview' src="http://amp.pharm.mssm.edu/clustergrammer/demo/" frameBorder="0" style='height: 495px; width:730px; margin-bottom:20px;'></iframe><div class="section" id="using-clustergrammer">
<h2>Using Clustergrammer<a class="headerlink" href="#using-clustergrammer" title="Permalink to this headline"></a></h2>
<p>The easiest ways to use Clustergrammer to produce an interactive and shareable heatmap visualization are to:</p>
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2 changes: 1 addition & 1 deletion docs/index.rst
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Welcome to Clustergrammer's Documentation!
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Clustergrammer is a web-based tool for visualizing high-dimensional data (e.g. a matrix) as an interactive and shareable hierarchically clustered heatmap. Clustergrammer's front-end (:ref:`clustergrammer_js`) is built using `D3.js`_ and its back-end (:ref:`clustergrammer_py`) is built using `Python`_. Clustergrammer produces highly interactive visualizations that enable intuitive exploration of high-dimensional data. Press play or interact with the demo below to see some of Clustergrammer's interactive features:
Clustergrammer is a web-based tool for visualizing high-dimensional data (e.g. a matrix) as an interactive and shareable hierarchically clustered heatmap. Clustergrammer's front-end (:ref:`clustergrammer_js`) is built using `D3.js`_ and its back-end (:ref:`clustergrammer_py`) is built using `Python`_. Clustergrammer produces highly interactive visualizations that enable intuitive exploration of high-dimensional data and has several optional biology-specific features (e.g. enrichment analysis, see :ref:`biology_specific_features`) to facilitate the exploration of gene-level biological data. Press play or interact with the gene-expression demo below to see some of Clustergrammer's interactive features:

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