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<font class="medium">Reading List</font>
<br><br>
 
 
Here is a selection of works that can help introduce both scientists and laypersons to the principals of generative medicine:
<br><br>
<h3>General Interest</h3>
<ul>
<li><i>The Web of Life</i> by Fritjof Capra  Capra</li>
<li><i>Complexity, A Guided Tour</i> by Melanie Mitchell </li>
<li><i>Thinking in Systems: A Primer</i> by Donella H. Meadows </li>
<li><i>Linked: How Everything Is Connected to Everything Else and What It Means</i> by Albert-L&aacute;szl&oacute; Barab&aacute;si</li>
</ul>

<br><br>
<h3>Advanced</h3> 
<br>  
<b>Philosophy</b>:
<ul>
 
<li><i>Re-Engineering Philosophy for Limited Beings: Piecewise Approximations to Reality</i> by William C. Wimsatt</li>
<li><i>What is Life?</i> by Erwin Schr&ouml;dinger and Roger Penrose</li> 
<li><i>The Re-Emergence of Emergence: The Emergentist Hypothesis from Science to Religion</i> by Philip Clayton and Paul Davies </li> 
</ul>

<br><br>
<b>Bioinformatics</b>:
<ul>
<li><i>Building Bioinformatics Solutions: with Perl, R and MySQL</i> by Conrad Bessant,</li>
<li><i>Beginning Perl for Bioinformatics</i> by James D. Tisdall</li>
<li><i>Genomic Perl: From Bioinformatics Basics to Working Code</i> by Rex A.Dwyer</li>
<li><i>Perl for Exploring DNA</i> by Mark D. LeBlanc and Betsey Dexter Dyer  </li>
<li><i>Introduction to Bioinformatics</i> by Arthur M. Lesk  </li>



</ul>
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<b>Systems/ Computational Biology</b>:
<ul>
<li><i>An Introduction to Systems Biology: Design Principles of Biological Circuits</i>  by Uri Alon </li>
<li><i>The Regulatory Genome: Gene Regulatory Networks In Development And Evolution</i> by Eric H. Davidson</li>
<li><i>Systems Biology</i> by Edda Klipp, Wolfram Liebermeister, Christoph Wierling and Axel Kowald</li>


<li><i>Computational Modeling of Gene Regulatory Networks: A Primer</i> by Hamid Bolouri </li> 
</ul>
<br><br>
<b>Evolutionary Developmental Biology</b>:
<ul>
<li><i>Epigenetics</i> by Danny Reinberg and Thomas Jenuwein</li>

<li><i>
Evolution in Four Dimensions: Genetic, Epigenetic, Behavioral, and Symbolic Variation in the History of Life </i>by Eva Jablonka, Marion J. Lamb and Anna Zeligowski </li>
 
</ul>

<br><br> 
<b>Personalized Medicine</b>:
<ul>
<li><i>Personal Genomics and Personalized Medicine</i> by Hamid Bolouri </li>

 
 
</ul>





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