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        <identifier>oai:drops-oai.dagstuhl.de:27508</identifier>
        <datestamp>2026-08-27T06:04:07Z</datestamp>
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          <dc:title>Contig Model for Variable-Order de Bruijn Graphs</dc:title>
          <dc:creator>Díaz-Domínguez, Diego</dc:creator>
          <dc:creator>Martinello, Pierfrancesco</dc:creator>
          <dc:creator>Onodera, Taku</dc:creator>
          <dc:creator>Puglisi, Simon J.</dc:creator>
          <dc:creator>Salmela, Leena</dc:creator>
          <dc:subject>genome assembly</dc:subject>
          <dc:subject>de Bruijn Graph</dc:subject>
          <dc:subject>long reads</dc:subject>
          <dc:description>Choosing an order for constructing a de Bruijn graph (DBG) is a crucial step in de novo assembly, as no single value allows complete genome reconstruction. The variable-order de Bruijn graph (voDBG) addresses this limitation by combining DBGs of multiple orders in a single structure connected by contextual relationships. This representation enables new connections to be identified or ambiguities to be resolved during assembly. However, voDBGs currently lack a formal definition of contigs.&#13;
In this paper, we give the first formal definition of contigs for voDBGs. We show that, for a frequency range [𝓁,h] with 𝓁 &gt; h/2, nodes whose labels occur with frequency f ∈ [𝓁, h] in the reads spell sequences of the genome with high probability under uniform sampling assumptions. We call these sequences (𝓁,h)-tigs. We also present an efficient algorithm to enumerate (𝓁,h)-tigs from a voDBG that accounts for homopolymer errors. Experiments on PacBio HiFi data show that our method significantly improves contiguity compared to unitigs in fixed-order DBGs while remaining considerably lighter than full genome assemblers.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Diego Díaz-Domínguez and Pierfrancesco Martinello and Taku Onodera and Simon J. Puglisi and Leena Salmela</dc:contributor>
          <dc:date>2026</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 390, 26th International Conference on Algorithms for Bioinformatics (WABI 2026)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.WABI.2026.4</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-275080</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.WABI.2026.4</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
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