Multi-Platform Assessment of DNA Sequencing Performance using Human and Bacterial Reference Genomes in the ABRF Next-Generation Sequencing Study
Jonathan FooxiD, Scott W. TigheiD, Charles M. NicoletiD, Justin M. ZookiD, Marta S. Byrska‐BishopiD, Wayne E. ClarkeiD, Michael M. KhayatiD, Medhat MahmoudiD, Phoebe K. Laaguiby, Zachary T. HerbertiD, Derek Warner, George S. GrillsiD, Jin JeniD, Shawn LevyiD, Jenny XiangiD, Alicia AlonsoiD, Gary P. SchrothiD, Fritz Joachim SedlazeckiD, Giuseppe NarzisiiD, William G. FarmerieiD, Don A. BaldwiniD, Christopher E. MasoniD
Abstract
Massively parallel DNA sequencing is a critical tool for genomics research and clinical diagnostics. Here, we describe the Association of Biomolecular Resource Facilities (ABRF) Next-Generation Sequencing Phase II Study to measure quality and reproducibility of DNA sequencing. Replicates of human and bacterial reference DNA samples were generated across multiple sequencing platforms, including well-established technologies such as Illumina, ThermoFisher Ion Torrent, and Pacific Biosciences, as well as emerging technologies such as BGI, Genapsys, and Oxford Nanopore. A total of 202 datasets were generated to investigate the performance of a total of 16 sequencing platforms, including mappability of reads, coverage and error rates in difficult genomic regions, and detection of small-scale polymorphisms and large-scale structural variants. This study provides a comprehensive baseline resource for continual benchmarking as chemistries, methods, and platforms evolve for DNA sequencing.
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