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    <responseDate>2026-10-14T18:19:26Z</responseDate>
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    <identifier>10.57760/sciencedb.0131a</identifier>
    <datestamp>2026-10-08T11:10:33Z</datestamp>
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  <dc:date>2026-10-08</dc:date>
  <dc:title>Synthetic MSK-IMPACT 2017 cohort: audited clinical-variant tables and simulated FASTQ reads from a hybrid generative pipeline</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.0131a</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This version contains 10,328 synthetic clinical&amp;ndash;variant records and 2,000 simulated single-end FASTQ files. A stable record index and an audited mapping link selected table rows to FASTQ archive members. The release also provides classified simulator-input specifications, quality flags, corrected validation data, an independent full-archive integrity audit, and a bounded 21-mer recount from publicly downloadable reads. The clinical fields and variant lists were generated separately; not every named alteration is represented by an alteration-specific or observed read-level event. The dataset supports record-to-file retrieval and controlled workflow testing, but is not a clinical cohort, an all-variant calling truth set, or a formal privacy guarantee.</dc:description>
  <dc:subject>synthetic data; NGS simulation; cancer genomics; MSK-IMPACT; generative models; FASTQ benchmarking; record-to-file linkage</dc:subject>
  <dc:creator>Yanlong Li</dc:creator>
  <dc:creator>Zhangyi Shen</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://opendatacommons.org/licenses/odbl/1-0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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