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    <identifier>10.57760/sciencedb.cjb.00007</identifier>
    <datestamp>2026-08-28T10:28:47Z</datestamp>
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  <dc:date>2026-08-28</dc:date>
  <dc:title>A benchmark dataset for evaluating antibody V(D)J genes reconstruction algorithms</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.cjb.00007</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset includes gold standard clone sequencing data, GenAIRR simulation data, and immuneSIM simulation data, with a total of over 110000 sequences. The gold standard data is derived from experimentally validated B cell clones, providing authentic annotation information; The immuneSIM data has a large scale and provides complete D segment alignment sequences; GenAIRR data is generated based on two mutation models, including complete alleles, mutation rates, and functional labels. This dataset can provide a standardized evaluation benchmark for the selection, parameter optimization, and new algorithm development of antibody V (D) J backtracking algorithm.&amp;nbsp;&amp;nbsp;</dc:description>
  <dc:subject>Antibody; V(D)J recombination; Immune repertoire sequencing; Allele assignment; Benchmark dataset</dc:subject>
  <dc:creator>mu xin yue</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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