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          <dc:title>Supplementary Figure 2 from Improving Long-Read Somatic Structural Variant Calling with Pangenome and &lt;i&gt;De Novo&lt;/i&gt; Personal Genome Assembly</dc:title>
          <dc:creator>Qian Qin (25136621)</dc:creator>
          <dc:creator>Jakob M. Heinz (25136624)</dc:creator>
          <dc:creator>Heng Li (9531776)</dc:creator>
          <dc:subject>Cancer</dc:subject>
          <dc:subject>Molecular and Cellular Biology</dc:subject>
          <dc:subject>Methods and Technology</dc:subject>
          <dc:subject>Algorithms</dc:subject>
          <dc:subject>Computational Methods</dc:subject>
          <dc:subject>Software</dc:subject>
          <dc:subject>Genome Biology</dc:subject>
          <dc:subject>Structural genomics</dc:subject>
          <dc:subject>Sequence Analysis</dc:subject>
          <dc:description>&lt;p&gt;gnomAD filtering analysis of the somatic SVs in COLO829 HiFi sequencing data. The SV calls were filtered at supported read cutoff of 3. The left column show the performance from HiFi sequencing data, right column shows the nanopore dataset performance.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-29T00:00:00Z</dc:date>
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