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        <article-title>Keynote Speech: Storing and analyzing viral sequences through data-driven Genomic Computing - Abstract</article-title>
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      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Stefano Ceri</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Politecnico di Milano</institution>
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          <addr-line>P. Leonardo Da Vinci 32, 20133 Milano</addr-line>
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          <country country="IT">Italy</country>
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      </contrib-group>
      <pub-date>
        <year>2021</year>
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      <abstract>
        <p>The first part of the talk illustrates, in simple and data-inspired terms, what is a viral sequence, what are mutations, how mutated sequences become organized forming a “variant”, what are the efects of individual mutations and of variants, how viral sequences are deposited to public repositories (GenBank, COGUK, GISAID). The second part of the talk presents the systems that were developed within my group, thanks to ERC and EIT funding. Specifically, I will illustrate (i) ViruSurf, a search system enabling free meta-data driven search over the integrated and curated databases, now hitting about 3 million SARS-CoV-2 sequences, continuously updated from the above repositories; (ii) VirusViz, a data visualization tool for comparatively analyzing query results; (iii) VirusLab, a tool for exploring userprovided viral sequences; (iv) EpiSurf, a tool for intersecting viral sequences with epitopes - used in vaccine design. I will also hint at ongoing projects for viral surveillance and for exploring a knowledge base of viral resources.</p>
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      <kwd-group>
        <kwd>eol&gt;viral sequences</kwd>
        <kwd>SARS-CoV-2 viral genome</kwd>
        <kwd>genomic computing</kwd>
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