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    <datestamp>2026-05-25T14:41:15Z</datestamp>
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  <dc:date>2026-05-25</dc:date>
  <dc:title>Supplyment to the article&amp;quot;GFAKaleidos: a tool for computing and comparing pangenome graph statistics&amp;quot;</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.hep.00003</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Supplyment to the article&amp;quot;As single linear reference genomes cannot fully represent variation across individuals, pangenome graphs incorporate population diversity into genomic analyses [1]. With the growing availability of pangenome graphs across species [2&amp;ndash;4], statistical analyses of these large graphs become challenging. Unlike simple script-based tasks on linear genomes, these analyses require efficient algorithms to compute graph metrics within a limited time and computing resources.&amp;quot;</dc:description>
  <dc:subject>pangenome; graph statistics; computational tools</dc:subject>
  <dc:creator>Jianyu ZHOU</dc:creator>
  <dc:creator>Leqi WANG</dc:creator>
  <dc:creator>Keyu LIU</dc:creator>
  <dc:creator>Yixin XIANG</dc:creator>
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  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.1007/s11704-025-50324-0</dc:relation>
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