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        <datestamp>2026-02-09T06:23:56Z</datestamp>
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          <dc:title>Search Schemes for Approximate Pattern Matching: An Overview</dc:title>
          <dc:creator>Depuydt, Lore</dc:creator>
          <dc:creator>Fostier, Jan</dc:creator>
          <dc:creator>Gottlieb, Simon</dc:creator>
          <dc:creator>Kucherov, Gregory</dc:creator>
          <dc:creator>Reinert, Knut</dc:creator>
          <dc:creator>Renders, Luca</dc:creator>
          <dc:subject>FM-index</dc:subject>
          <dc:subject>bidirectional index</dc:subject>
          <dc:subject>approximate pattern matching</dc:subject>
          <dc:subject>search scheme</dc:subject>
          <dc:description>We provide a brief survey of results on solving the approximate pattern matching problem using search schemes, as introduced by Kucherov et al. (2016). We demonstrate that search schemes constitute a flexible and versatile tool that enable the specification of various search strategies, including several known filtering methods. We present approaches for designing efficient search schemes and for implementing them effectively. Finally, we conclude with experimental results comparing multiple search schemes on DNA sequencing data using the Columba software by Renders et al. (2021).</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Lore Depuydt and Jan Fostier and Simon Gottlieb and Gregory Kucherov and Knut Reinert and Luca Renders</dc:contributor>
          <dc:date>2025</dc:date>
          <dc:relation>Is Part Of OASIcs, Volume 131, The Expanding World of Compressed Data: A Festschrift for Giovanni Manzini's 60th Birthday (2025)</dc:relation>
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          <dc:identifier>doi:10.4230/OASIcs.Manzini.9</dc:identifier>
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          <dc:language>eng</dc:language>
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