<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><submitter>Hansen NF</submitter><funding>NIDA NIH HHS</funding><funding>NHGRI NIH HHS</funding><funding>NINDS NIH HHS</funding><funding>NIH HHS</funding><funding>NIGMS NIH HHS</funding><pubmed_abstract>Human genome resequencing typically involves mapping reads to a reference genome to call variants; however, this approach suffers from both technical and reference biases, leaving many duplicated and structurally polymorphic regions of the genome unmapped. Consequently, existing variant benchmarks, generated by the same methods, fail to assess these complex regions. To address this limitation, we present a telomere-to-telomere genome benchmark that achieves near-perfect accuracy (i.e. no detectable errors) across 99.4% of the complete, diploid HG002 genome. This benchmark adds 701.4 Mb of autosomal sequence and both sex chromosomes (216.8 Mb), totaling 15.3% of the genome that was absent from prior benchmarks. We also provide a diploid annotation of genes, transposable elements, segmental </pubmed_abstract><journal>bioRxiv : the preprint server for biology</journal><pagination>2025.09.21.677443</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12458380</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>A complete diploid human genome benchmark for personalized genomics.</pubmed_title><pmcid>PMC12458380</pmcid><funding_grant_id>R35 GM156470</funding_grant_id><funding_grant_id>U24 HG010263</funding_grant_id><funding_grant_id>U01 HG011758</funding_grant_id><funding_grant_id>UM1 HG010971</funding_grant_id><funding_grant_id>R01 HG011274</funding_grant_id><funding_grant_id>K99 GM155552</funding_grant_id><funding_grant_id>U01 HG013744</funding_grant_id><funding_grant_id>R00 GM147352</funding_grant_id><funding_grant_id>R01 HG010169</funding_grant_id><funding_grant_id>UM1 DA058220</funding_grant_id><funding_grant_id>T32 GM007454</funding_grant_id><funding_grant_id>R01 HG006677</funding_grant_id><funding_grant_id>UG3 NS132105</funding_grant_id><funding_grant_id>DP5 OD029630</funding_grant_id><funding_grant_id>UM1 DA058229</funding_grant_id><funding_grant_id>R35 GM130151</funding_grant_id><pubmed_authors>Asri M</pubmed_authors><pubmed_authors>Antipov D</pubmed_authors><pubmed_authors>O'Neill RJ</pubmed_authors><pubmed_authors>Riethman H</pubmed_authors><pubmed_authors>Carroll A</pubmed_authors><pubmed_authors>Stergachis AB</pubmed_authors><pubmed_authors>Adam E</pubmed_authors><pubmed_authors>Logsdon GA</pubmed_authors><pubmed_authors>Barreira S</pubmed_authors><pubmed_authors>Lipovac J</pubmed_authors><pubmed_authors>Sikic M</pubmed_authors><pubmed_authors>Solar SJ</pubmed_authors><pubmed_authors>Ji HJ</pubmed_authors><pubmed_authors>Oshima KK</pubmed_authors><pubmed_authors>Rautiainen M</pubmed_authors><pubmed_authors>Chu Y</pubmed_authors><pubmed_authors>Storer JM</pubmed_authors><pubmed_authors>Altemose N</pubmed_authors><pubmed_authors>Wagner J</pubmed_authors><pubmed_authors>Kang Y</pubmed_authors><pubmed_authors>Carioscia SA</pubmed_authors><pubmed_authors>Guarracino A</pubmed_authors><pubmed_authors>Vollger MR</pubmed_authors><pubmed_authors>Shafin K</pubmed_authors><pubmed_authors>Negi S</pubmed_authors><pubmed_authors>Ebert P</pubmed_authors><pubmed_authors>Fleharty M</pubmed_authors><pubmed_authors>Fleming LE</pubmed_authors><pubmed_authors>Jenike K</pubmed_authors><pubmed_authors>Sedlazeck FJ</pubmed_authors><pubmed_authors>Formenti G</pubmed_authors><pubmed_authors>Bzikadze AV</pubmed_authors><pubmed_authors>Schnabel RD</pubmed_authors><pubmed_authors>Yoo D</pubmed_authors><pubmed_authors>Ranjan D</pubmed_authors><pubmed_authors>Sweeten AP</pubmed_authors><pubmed_authors>Mastoras M</pubmed_authors><pubmed_authors>Schatz MC</pubmed_authors><pubmed_authors>Rhie A</pubmed_authors><pubmed_authors>Kim J</pubmed_authors><pubmed_authors>Hansen NF</pubmed_authors><pubmed_authors>Kalleberg J</pubmed_authors><pubmed_authors>Koren S</pubmed_authors><pubmed_authors>Bohaczuk SC</pubmed_authors><pubmed_authors>Pickett BD</pubmed_authors><pubmed_authors>Salzberg SL</pubmed_authors><pubmed_authors>Paulin LF</pubmed_authors><pubmed_authors>King R</pubmed_authors><pubmed_authors>Ranchalis J</pubmed_authors><pubmed_authors>Miga KH</pubmed_authors><pubmed_authors>Porubsky D</pubmed_authors><pubmed_authors>Mitchell MW</pubmed_authors><pubmed_authors>Garrison E</pubmed_authors><pubmed_authors>Olson ND</pubmed_authors><pubmed_authors>Dwarshuis N</pubmed_authors><pubmed_authors>Chao KH</pubmed_authors><pubmed_authors>English A</pubmed_authors><pubmed_authors>Zhou Y</pubmed_authors><pubmed_authors>Phillippy AM</pubmed_authors><pubmed_authors>Hartley GA</pubmed_authors><pubmed_authors>Loucks H</pubmed_authors><pubmed_authors>Eichler EE</pubmed_authors><pubmed_authors>Zook JM</pubmed_authors><pubmed_authors>Das A</pubmed_authors><pubmed_authors>Timp W</pubmed_authors></additional><is_claimable>false</is_claimable><name>A complete diploid human genome benchmark for personalized genomics.</name><description>Human genome resequencing typically involves mapping reads to a reference genome to call variants; however, this approach suffers from both technical and reference biases, leaving many duplicated and structurally polymorphic regions of the genome unmapped. Consequently, existing variant benchmarks, generated by the same methods, fail to assess these complex regions. To address this limitation, we present a telomere-to-telomere genome benchmark that achieves near-perfect accuracy (i.e. no detectable errors) across 99.4% of the complete, diploid HG002 genome. This benchmark adds 701.4 Mb of autosomal sequence and both sex chromosomes (216.8 Mb), totaling 15.3% of the genome that was absent from prior benchmarks. We also provide a diploid annotation of genes, transposable elements, segmental </description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Sep</publication><modification>2026-05-04T03:22:44.817Z</modification><creation>2026-05-04T03:14:18.689Z</creation></dates><accession>S-EPMC12458380</accession><cross_references><pubmed>41000953</pubmed><doi>10.1101/2025.09.21.677443</doi></cross_references></HashMap>