Development and extensive sequencing of a broadly-consented Genome in a Bottle matched tumor-normal pair.

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作者:McDaniel Jennifer H, Patel Vaidehi, Olson Nathan D, He Hua-Jun, He Zhiyong, Cole Kenneth D, Gooden Alexander A, Schmitt Anthony, Sikkink Kristin, Sedlazeck Fritz J, Doddapaneni Harsha, Jhangiani Shalini N, Muzny Donna M, Gingras Marie-Claude, Mehta Heer, Behera Sairam, Paulin Luis F, Hastie Alex R, Yu Hung-Chun, Weigman Victor, Rojas Alison, Kennedy Katie, Remington Jamie, Salas-González Isai, Sudkamp Mitch, Wiseman Kelly, Lajoie Bryan R, Levy Shawn, Jain Miten, Akeson Stuart, Narzisi Giuseppe, Steinsnyder Zoe, Reeves Catherine, Shelton Jennifer, Kingan Sarah B, Lambert Christine, Baybayan Primo, Wenger Aaron M, McLaughlin Ian J, Adamson Aaron, Kingsley Christopher, Wescott Melanie, Kim Young, Paten Benedict, Park Jimin, Violich Ivo, Miga Karen H, Gardner Joshua, McNulty Brandy, Rosen Gail L, McCoy Rajiv, Brundu Francesco, Sayyari Erfan, Scheffler Konrad, Truong Sean, Catreux Severine, Hannah Lesley Chapman, Lipson Doron, Benjamin Hila, Iremadze Nika, Soifer Ilya, Krieger Gat, Eacker Stephen, Wood Mary, Cross Erin, Husar Greg, Gross Stephen, Vernich Michael, Kolmogorov Mikhail, Ahmad Tanveer, Keskus Ayse G, Bryant Asher, Thibaud-Nissen Francoise, Trow Jonathan, Proszynski Jacqueline, Hirschberg Jeremy Wain, Ryon Krista, Mason Christopher E, Bhakta Mital S, Sanborn J Zachary, Munding Elizabeth M, Wagner Justin, Xiao Chunlin, Liss Andrew S, Zook Justin M
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 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, Hi-C, and karyotyping. These data will be used by the GIAB Consortium to develop matched tumor-normal benchmarks for somatic variant detection. We expect these data to facilitate innovation for whole genome measurement technologies, de novo assembly of tumor and normal genomes, and bioinformatic tools to identify small and structural somatic variants. This first-of-its-kind broadly consented open-access resource will facilitate further understanding of sequencing methods used for cancer biology.

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