<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><submitter>McDaniel JH</submitter><funding>NHGRI NIH HHS</funding><funding>NCI NIH HHS</funding><funding>NIH HHS</funding><funding>NIGMS NIH HHS</funding><pubmed_abstract>The Genome in a Bottle Consortium (GIAB), hosted by the National Institute of Standards and Technology (NIST), is developing new matched tumor-normal samples, the first to be explicitly consented for public dissemination of genomic data and cell lines. Here, we describe a comprehensive genomic dataset from the first individual, HG008, including DNA from an adherent, epithelial-like pancreatic ductal adenocarcinoma (PDAC) tumor cell line and matched normal cells from duodenal and pancreatic tissues. Data for the tumor-normal matched samples comes from seventeen distinct state-of-the-art whole genome measurement technologies, including high depth short and long-read bulk whole genome sequencing (WGS), single cell WGS, and Hi-C, and karyotyping. In future publications, these data will be used</pubmed_abstract><journal>bioRxiv : the preprint server for biology</journal><pagination>2024.09.18.613544</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11429686</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Development and extensive sequencing of a broadly-consented Genome in a Bottle matched tumor-normal pair.</pubmed_title><pmcid>PMC11429686</pmcid><funding_grant_id>U01 CA253405</funding_grant_id><funding_grant_id>S10 OD028587</funding_grant_id><funding_grant_id>OT2 OD034190</funding_grant_id><funding_grant_id>R44 HG014126</funding_grant_id><funding_grant_id>R35 GM133747</funding_grant_id><funding_grant_id>R01 HG011274</funding_grant_id><funding_grant_id>U24 HG011853</funding_grant_id><pubmed_authors>Shelton J</pubmed_authors><pubmed_authors>Akeson S</pubmed_authors><pubmed_authors>Paten B</pubmed_authors><pubmed_authors>Ahmad T</pubmed_authors><pubmed_authors>Lambert C</pubmed_authors><pubmed_authors>Mehta H</pubmed_authors><pubmed_authors>Steinsnyder Z</pubmed_authors><pubmed_authors>Krieger G</pubmed_authors><pubmed_authors>Husar G</pubmed_authors><pubmed_authors>Remington J</pubmed_authors><pubmed_authors>Proszynski J</pubmed_authors><pubmed_authors>Cole KD</pubmed_authors><pubmed_authors>Sudkamp M</pubmed_authors><pubmed_authors>Hirschberg JW</pubmed_authors><pubmed_authors>Catreux S</pubmed_authors><pubmed_authors>Park J</pubmed_authors><pubmed_authors>Iremadze N</pubmed_authors><pubmed_authors>Jain M</pubmed_authors><pubmed_authors>Bhakta MS</pubmed_authors><pubmed_authors>Patel V</pubmed_authors><pubmed_authors>Violich I</pubmed_authors><pubmed_authors>Wagner J</pubmed_authors><pubmed_authors>Sikkink K</pubmed_authors><pubmed_authors>Rojas A</pubmed_authors><pubmed_authors>Scheffler K</pubmed_authors><pubmed_authors>Lajoie BR</pubmed_authors><pubmed_authors>Hannah LC</pubmed_authors><pubmed_authors>Kennedy K</pubmed_authors><pubmed_authors>Wenger AM</pubmed_authors><pubmed_authors>Eacker S</pubmed_authors><pubmed_authors>Keskus A</pubmed_authors><pubmed_authors>He Z</pubmed_authors><pubmed_authors>Narzisi G</pubmed_authors><pubmed_authors>Rosen GL</pubmed_authors><pubmed_authors>Levy S</pubmed_authors><pubmed_authors>McLaughlin IJ</pubmed_authors><pubmed_authors>Truong S</pubmed_authors><pubmed_authors>Zachary Sanborn J</pubmed_authors><pubmed_authors>He HJ</pubmed_authors><pubmed_authors>Sedlazeck FJ</pubmed_authors><pubmed_authors>McDaniel JH</pubmed_authors><pubmed_authors>Bayabyan P</pubmed_authors><pubmed_authors>Yu HC</pubmed_authors><pubmed_authors>Jhangiani SN</pubmed_authors><pubmed_authors>Bryant A</pubmed_authors><pubmed_authors>McNulty B</pubmed_authors><pubmed_authors>Salas-Gonzalez I</pubmed_authors><pubmed_authors>Lipson D</pubmed_authors><pubmed_authors>Thibaud-Nissen F</pubmed_authors><pubmed_authors>Wiseman K</pubmed_authors><pubmed_authors>Vernich M</pubmed_authors><pubmed_authors>Wescott M</pubmed_authors><pubmed_authors>Cross E</pubmed_authors><pubmed_authors>Munding EM</pubmed_authors><pubmed_authors>Behera S</pubmed_authors><pubmed_authors>Hastie AR</pubmed_authors><pubmed_authors>Paulin LF</pubmed_authors><pubmed_authors>Soifer I</pubmed_authors><pubmed_authors>Doddapaneni H</pubmed_authors><pubmed_authors>Trow J</pubmed_authors><pubmed_authors>Gross S</pubmed_authors><pubmed_authors>Miga KH</pubmed_authors><pubmed_authors>Muzny DM</pubmed_authors><pubmed_authors>Benjamin H</pubmed_authors><pubmed_authors>Mason CE</pubmed_authors><pubmed_authors>Olson ND</pubmed_authors><pubmed_authors>Reeves C</pubmed_authors><pubmed_authors>Kolmogorov M</pubmed_authors><pubmed_authors>Gingras MC</pubmed_authors><pubmed_authors>Kingan SB</pubmed_authors><pubmed_authors>Gardner J</pubmed_authors><pubmed_authors>Gooden AA</pubmed_authors><pubmed_authors>Kingsley C</pubmed_authors><pubmed_authors>Weigman V</pubmed_authors><pubmed_authors>Sayyari E</pubmed_authors><pubmed_authors>Brundu F</pubmed_authors><pubmed_authors>Kim Y</pubmed_authors><pubmed_authors>McCoy R</pubmed_authors><pubmed_authors>Liss AS</pubmed_authors><pubmed_authors>Zook JM</pubmed_authors><pubmed_authors>Ryon K</pubmed_authors><pubmed_authors>Xiao C</pubmed_authors><pubmed_authors>Schmitt A</pubmed_authors><pubmed_authors>Adamson A</pubmed_authors><pubmed_authors>Wood M</pubmed_authors></additional><is_claimable>false</is_claimable><name>Development and extensive sequencing of a broadly-consented Genome in a Bottle matched tumor-normal pair.</name><description>The Genome in a Bottle Consortium (GIAB), hosted by the National Institute of Standards and Technology (NIST), is developing new matched tumor-normal samples, the first to be explicitly consented for public dissemination of genomic data and cell lines. Here, we describe a comprehensive genomic dataset from the first individual, HG008, including DNA from an adherent, epithelial-like pancreatic ductal adenocarcinoma (PDAC) tumor cell line and matched normal cells from duodenal and pancreatic tissues. Data for the tumor-normal matched samples comes from seventeen distinct state-of-the-art whole genome measurement technologies, including high depth short and long-read bulk whole genome sequencing (WGS), single cell WGS, and Hi-C, and karyotyping. In future publications, these data will be used</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Jun</publication><modification>2026-05-17T03:14:27.014Z</modification><creation>2025-04-04T00:45:46.504Z</creation></dates><accession>S-EPMC11429686</accession><cross_references><pubmed>39345378</pubmed><doi>10.1101/2024.09.18.613544</doi></cross_references></HashMap>