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      <div class="TdmEntry">Overall Objectives<ul><li><a href="./uid3.html">Optimization of genomic data processing</a></li><li><a href="./uid7.html">Active collaboration with life science actors</a></li></ul></div>
      <div class="TdmEntry">Research Program<ul><li class="tdmActPage"><a href="uid11.html&#10;&#9;&#9;  ">Introduction</a></li><li><a href="uid12.html&#10;&#9;&#9;  ">Axis 1: HTS data processing</a></li><li><a href="uid13.html&#10;&#9;&#9;  ">Axis 2: Sequence comparison</a></li><li><a href="uid14.html&#10;&#9;&#9;  ">Axis 3: Protein 3D structure</a></li><li><a href="uid17.html&#10;&#9;&#9;  ">Axis 4: Parallelism</a></li></ul></div>
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	    2016</a> | <a href="http://www.inria.fr/en/teams/genscale">Presentation of the Project-Team GENSCALE</a> | <a href="http://team.inria.fr/genscale/">GENSCALE Web Site
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        <h2>Section: 
      Research Program</h2>
        <h3 class="titre3">Introduction</h3>
        <p>Based on these overall objectives, the research program of GenScale is structured into four research axes as described below. The first three axes include pure computer science aspects, such as the development of advanced data structures and/or the design of new optimized algorithms; they also include strong partnerships with life science actors to validate the methodologies that are developed. The fourth axis can be seen as a transversal one. It addresses efficient parallel implementations of our methods on standard processors, cluster systems, or accelerators such as GPU.</p>
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