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<oembed><version>1.0</version><provider_name>Microsoft Research</provider_name><provider_url>https://www.microsoft.com/en-us/research</provider_url><author_name>Hillel Kugler</author_name><author_url>https://www.microsoft.com/en-us/research/people/hkugler/</author_url><title>Synthesizing Biological Theories - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="VKvaHsxwSd"&gt;&lt;a href="https://www.microsoft.com/en-us/research/publication/synthesizing-biological-theories/"&gt;Synthesizing Biological Theories&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/synthesizing-biological-theories/embed/#?secret=VKvaHsxwSd" width="600" height="338" title="&#x201C;Synthesizing Biological Theories&#x201D; &#x2014; Microsoft Research" data-secret="VKvaHsxwSd" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
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</html><description>Studies of biological systems are often facilitated by diagram models that summarize the current understanding of underlying mechanisms. The increasing complexity of our understanding of biology necessitates computational models that can extend these representations to include their dynamic behavior. We present here a new tool we call Synthesizing Biological Theories which enables biologists and modelers [&hellip;]</description></oembed>
