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        <identifier>oai:drops-oai.dagstuhl.de:13956</identifier>
        <datestamp>2024-03-06T10:52:59Z</datestamp>
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          <dc:title>The k-Mappability Problem Revisited</dc:title>
          <dc:creator>Amir, Amihood</dc:creator>
          <dc:creator>Boneh, Itai</dc:creator>
          <dc:creator>Kondratovsky, Eitan</dc:creator>
          <dc:subject>Pattern Matching</dc:subject>
          <dc:subject>Hamming Distance</dc:subject>
          <dc:subject>Suffix Tree</dc:subject>
          <dc:subject>Suffix Array</dc:subject>
          <dc:description>The k-mappability problem has two integers parameters m and k. For every subword of size m in a text S, we wish to report the number of indices in S in which the word occurs with at most k mismatches. &#13;
The problem was lately tackled by Alzamel et al. [Mai Alzamel et al., 2018]. For a text with constant alphabet Σ and k ∈ O(1), they present an algorithm with linear space and O(nlog^{k+1}n) time. For the case in which k = 1 and a constant size alphabet, a faster algorithm with linear space and O(nlog(n)log log(n)) time was presented in [Mai Alzamel et al., 2020]. &#13;
In this work, we enhance the techniques of [Mai Alzamel et al., 2020] to obtain an algorithm with linear space and O(n log(n)) time for k = 1. Our algorithm removes the constraint of the alphabet being of constant size. We also present linear algorithms for the case of k = 1, |Σ| ∈ O(1) and m = Ω(√n).</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Amihood Amir and Itai Boneh and Eitan Kondratovsky</dc:contributor>
          <dc:date>2021</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 191, 32nd Annual Symposium on Combinatorial Pattern Matching (CPM 2021)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.CPM.2021.5</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-139566</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CPM.2021.5</dc:identifier>
          <dc:language>eng</dc:language>
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