Ultra-deep sequencing data from a liquid biopsy proficiency study demonstrating analytic validity

Binsheng Gong; Ira W. Deveson; Timothy Mercer; Donald J. Johann; Wendell Jones; Weida Tong; Joshua Xu

doi:10.1038/s41597-022-01276-8

Scientific Data (Apr 2022)

Ultra-deep sequencing data from a liquid biopsy proficiency study demonstrating analytic validity

Binsheng Gong,
Ira W. Deveson,
Timothy Mercer,
Donald J. Johann,
Wendell Jones,
Weida Tong,
Joshua Xu

Affiliations

Binsheng Gong: Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration
Ira W. Deveson: Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research
Timothy Mercer: Australian Institute of Bioengineering and Nanotechnology, University of Queensland
Donald J. Johann: Winthrop P Rockefeller Cancer Institute, University of Arkansas for Medical Sciences
Wendell Jones: Q2 Solutions - EA Genomics
Weida Tong: Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration
Joshua Xu: Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration

DOI: https://doi.org/10.1038/s41597-022-01276-8
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 7

Abstract

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Measurement(s) Somatic Mutation • spike-in quality control role Technology Type(s) Tumor Panel Sequencing Factor Type(s) Tumor Panel • DNA Library Input Quantity • Variant Allele Frequency Sample Characteristic - Organism Homo sapiens

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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