| Comparison: adaptation Not reported Context-only references | Achieving robust somatic mutation detection with deep learning models derived from reference data sets of a cancer sample Original source ↗ Additional file 2 Table S4, column 'DRAGEN', SNVs section Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Genome Biology 23:12, published 2022-01-07; PMC8740374 full-text XML Retrieved: 2026-10-10T06:04:11Z | missing or unspecified No individual claim review recorded independent paper Audit detailsField: attributes.comparison.adaptation Source artifact SHA-256: 78dbe540c2558585bc7537e0e6563706fdaa329b2708e5dc82b77074379b4a6e Hash scope: Hash scope not separately documented; inspect source record Inspected artifact |
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| Comparison: adaptation Not reported Context-only references | Sahraeian et al. 2022, Additional file 2: Supplementary Tables S1-S10 (13059_2021_2592_MOESM2_ESM.pdf) Original source ↗ Additional file 2 Table S4, column 'DRAGEN', SNVs section Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 13059_2021_2592_MOESM2_ESM.pdf Retrieved: 2026-10-10T06:04:16Z | missing or unspecified No individual claim review recorded independent paper Audit detailsField: attributes.comparison.adaptation Source artifact SHA-256: 10a109d80f6f49446ea84bd9f7f6b31c20d634516c8666376ac8a8f51f3236d0 Hash scope: Hash scope not separately documented; inspect source record Inspected artifact |
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| Comparison: aggregation Per library pair, plus the printed average over 6 Context-only references | Achieving robust somatic mutation detection with deep learning models derived from reference data sets of a cancer sample Original source ↗ Additional file 2 Table S4, column 'DRAGEN', SNVs section Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Genome Biology 23:12, published 2022-01-07; PMC8740374 full-text XML Retrieved: 2026-10-10T06:04:11Z | not individually reviewed No individual claim review recorded independent paper Audit detailsField: attributes.comparison.aggregation Source artifact SHA-256: 78dbe540c2558585bc7537e0e6563706fdaa329b2708e5dc82b77074379b4a6e Hash scope: Hash scope not separately documented; inspect source record Inspected artifact |
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| Comparison: aggregation Per library pair, plus the printed average over 6 Context-only references | Sahraeian et al. 2022, Additional file 2: Supplementary Tables S1-S10 (13059_2021_2592_MOESM2_ESM.pdf) Original source ↗ Additional file 2 Table S4, column 'DRAGEN', SNVs section Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 13059_2021_2592_MOESM2_ESM.pdf Retrieved: 2026-10-10T06:04:16Z | not individually reviewed No individual claim review recorded independent paper Audit detailsField: attributes.comparison.aggregation Source artifact SHA-256: 10a109d80f6f49446ea84bd9f7f6b31c20d634516c8666376ac8a8f51f3236d0 Hash scope: Hash scope not separately documented; inspect source record Inspected artifact |
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| Comparison: budget Not reported Context-only references | Achieving robust somatic mutation detection with deep learning models derived from reference data sets of a cancer sample Original source ↗ Additional file 2 Table S4, column 'DRAGEN', SNVs section Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Genome Biology 23:12, published 2022-01-07; PMC8740374 full-text XML Retrieved: 2026-10-10T06:04:11Z | missing or unspecified No individual claim review recorded independent paper Audit detailsField: attributes.comparison.budget Source artifact SHA-256: 78dbe540c2558585bc7537e0e6563706fdaa329b2708e5dc82b77074379b4a6e Hash scope: Hash scope not separately documented; inspect source record Inspected artifact |
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| Comparison: budget Not reported Context-only references | Sahraeian et al. 2022, Additional file 2: Supplementary Tables S1-S10 (13059_2021_2592_MOESM2_ESM.pdf) Original source ↗ Additional file 2 Table S4, column 'DRAGEN', SNVs section Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 13059_2021_2592_MOESM2_ESM.pdf Retrieved: 2026-10-10T06:04:16Z | missing or unspecified No individual claim review recorded independent paper Audit detailsField: attributes.comparison.budget Source artifact SHA-256: 10a109d80f6f49446ea84bd9f7f6b31c20d634516c8666376ac8a8f51f3236d0 Hash scope: Hash scope not separately documented; inspect source record Inspected artifact |
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| Comparison: dataset version Not reported Context-only references | Achieving robust somatic mutation detection with deep learning models derived from reference data sets of a cancer sample Original source ↗ Additional file 2 Table S4, column 'DRAGEN', SNVs section Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Genome Biology 23:12, published 2022-01-07; PMC8740374 full-text XML Retrieved: 2026-10-10T06:04:11Z | missing or unspecified No individual claim review recorded independent paper Audit detailsField: attributes.comparison.dataset_version Source artifact SHA-256: 78dbe540c2558585bc7537e0e6563706fdaa329b2708e5dc82b77074379b4a6e Hash scope: Hash scope not separately documented; inspect source record Inspected artifact |
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| Comparison: dataset version Not reported Context-only references | Sahraeian et al. 2022, Additional file 2: Supplementary Tables S1-S10 (13059_2021_2592_MOESM2_ESM.pdf) Original source ↗ Additional file 2 Table S4, column 'DRAGEN', SNVs section Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 13059_2021_2592_MOESM2_ESM.pdf Retrieved: 2026-10-10T06:04:16Z | missing or unspecified No individual claim review recorded independent paper Audit detailsField: attributes.comparison.dataset_version Source artifact SHA-256: 10a109d80f6f49446ea84bd9f7f6b31c20d634516c8666376ac8a8f51f3236d0 Hash scope: Hash scope not separately documented; inspect source record Inspected artifact |
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| Comparison: inputs Tumour and matched normal WGS BAM files (BWA-MEM) Context-only references | Achieving robust somatic mutation detection with deep learning models derived from reference data sets of a cancer sample Original source ↗ Additional file 2 Table S4, column 'DRAGEN', SNVs section Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Genome Biology 23:12, published 2022-01-07; PMC8740374 full-text XML Retrieved: 2026-10-10T06:04:11Z | not individually reviewed No individual claim review recorded independent paper Audit detailsField: attributes.comparison.inputs Source artifact SHA-256: 78dbe540c2558585bc7537e0e6563706fdaa329b2708e5dc82b77074379b4a6e Hash scope: Hash scope not separately documented; inspect source record Inspected artifact |
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| Comparison: inputs Tumour and matched normal WGS BAM files (BWA-MEM) Context-only references | Sahraeian et al. 2022, Additional file 2: Supplementary Tables S1-S10 (13059_2021_2592_MOESM2_ESM.pdf) Original source ↗ Additional file 2 Table S4, column 'DRAGEN', SNVs section Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 13059_2021_2592_MOESM2_ESM.pdf Retrieved: 2026-10-10T06:04:16Z | not individually reviewed No individual claim review recorded independent paper Audit detailsField: attributes.comparison.inputs Source artifact SHA-256: 10a109d80f6f49446ea84bd9f7f6b31c20d634516c8666376ac8a8f51f3236d0 Hash scope: Hash scope not separately documented; inspect source record Inspected artifact |
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