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        <title type="main">Bioinformatics of genome evolution: from ancestral to modern metabolism</title>
        <title type="sub">Phylogenomics and comparative genomics to understand microbial evolution
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            <forename>Marco</forename>
            <surname>Fondi</surname>
            <placeName type="affiliation">University of Florence, Italy</placeName>
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        <publisher>Firenze University Press</publisher>
        <pubPlace>Firenze</pubPlace>
        <date when="2011">2011</date>
        <idno type="DOI">https://doi.org/10.36253/978-88-6655-045-7</idno>
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          <p>Available for academic research purposes</p>
          <p>Open Access</p>
          <p>Copyright Author(s)</p>
          <licence source="text" target="https://creativecommons.org/licenses/by-nd/3.0/legalcode">
            <p>Content licence CC BY-ND 3.0 IT</p>
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        <title>Premio Tesi di Dottorato</title>
        <idno type="ISSN" subtype="print">2612-8039</idno>
        <idno type="ISSN" subtype="electronic">2612-8020</idno>
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          <date>2011</date>
          <idno type="ISBN" subtype="electronic">978-88-6655-045-7</idno>
          <biblScope unit="page">80 pages</biblScope>
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            <p>This is original content, published in Open Access. It is also available to read for free online at <ref target="https://media.fupress.com/files/pdf/24/2234/2234_21532">https://media.fupress.com/files/pdf/24/2234/2234_21532</ref></p>
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          <date>2011</date>
          <idno type="ISBN" subtype="electronic">978-88-9273-644-3</idno>
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        <bibl type="monograph">
          <edition n="3">Print edition</edition>
          <date>2011</date>
          <idno type="ISBN" subtype="print">978-88-6655-043-3</idno>
          <biblScope unit="page">80 pages</biblScope>
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            <p>It is available for online purchase at <ref target="https://books.fupress.com/isbn/9788866550457">https://books.fupress.com/isbn/9788866550457</ref></p>
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        <tag>peer-reviewed</tag>
        <rs type="FUP_policy" source="https://doi.org/10.36253/fup_best_practice">Firenze University Press Best Practice in Scholarly Publishing</rs>
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      <abstract xml:lang="en">
        <p>Bioinformatics, that is the interdisciplinary field that blends computer science and biostatistics with biological and biomedical sciences, is expected to gain a central role in next feature. Indeed, it has now affected several fields of biology, providing crucial hints for the understanding of biological systems and also allowing a
more accurate design of wet lab experiments.
In this work, the analysis of sequence data has be used in different fields, such as evolution (e.g. the assembly and evolution of metabolism), infections control (e.g. the horizontal flow of antibiotic resistance), ecology (bacterial bioremediation).</p>
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      <p>It is available online at https://doi.org/10.36253/978-88-6655-045-7<ref target="https://doi.org/10.36253/978-88-6655-045-7" /></p>
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