Performance assessment of DNA sequencing platforms in the ABRF Next-Generation Sequencing Study

被引:0
|
作者
Jonathan Foox
Scott W. Tighe
Charles M. Nicolet
Justin M. Zook
Marta Byrska-Bishop
Wayne E. Clarke
Michael M. Khayat
Medhat Mahmoud
Phoebe K. Laaguiby
Zachary T. Herbert
Derek Warner
George S. Grills
Jin Jen
Shawn Levy
Jenny Xiang
Alicia Alonso
Xia Zhao
Wenwei Zhang
Fei Teng
Yonggang Zhao
Haorong Lu
Gary P. Schroth
Giuseppe Narzisi
William Farmerie
Fritz J. Sedlazeck
Don A. Baldwin
Christopher E. Mason
机构
[1] Weill Cornell Medicine,Department of Physiology and Biophysics
[2] Weill Cornell Medicine,The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine
[3] University of Vermont,University of Vermont Cancer Center, Vermont Integrative Genomics Resource
[4] University of Southern California,Keck School of Medicine
[5] Biosystems and Biomaterials Division,DNA Sequencing Core
[6] National Institute of Standards and Technology,Sylvester Comprehensive Cancer Center
[7] New York Genome Center,Department of Laboratory Medicine and Pathology
[8] Human Genome Sequencing Center,Department of Biotechnology and Biomedicine
[9] Baylor College of Medicine,Interdisciplinary Center for Biotechnology Research
[10] Department of Molecular and Human Genetics,Department of Pathology
[11] Baylor College of Medicine,The WorldQuant Initiative for Quantitative Prediction
[12] Molecular Biology Core Facilities,undefined
[13] Dana-Farber Cancer Institute,undefined
[14] University of Utah,undefined
[15] University of Miami,undefined
[16] Mayo Clinic,undefined
[17] HudsonAlpha Institute for Biotechnology,undefined
[18] BGI-Shenzhen,undefined
[19] MGI,undefined
[20] BGI-Shenzhen,undefined
[21] Technical University of Denmark,undefined
[22] Guangdong Provincial Key Laboratory of Genome Read and Write,undefined
[23] Illumina,undefined
[24] Inc.,undefined
[25] University of Florida,undefined
[26] Fox Chase Cancer Center,undefined
[27] The Feil Family Brain and Mind Research Institute,undefined
[28] Weill Cornell Medicine,undefined
来源
Nature Biotechnology | 2021年 / 39卷
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摘要
Assessing the reproducibility, accuracy and utility of massively parallel DNA sequencing platforms remains an ongoing challenge. Here the Association of Biomolecular Resource Facilities (ABRF) Next-Generation Sequencing Study benchmarks the performance of a set of sequencing instruments (HiSeq/NovaSeq/paired-end 2 × 250-bp chemistry, Ion S5/Proton, PacBio circular consensus sequencing (CCS), Oxford Nanopore Technologies PromethION/MinION, BGISEQ-500/MGISEQ-2000 and GS111) on human and bacterial reference DNA samples. Among short-read instruments, HiSeq 4000 and X10 provided the most consistent, highest genome coverage, while BGI/MGISEQ provided the lowest sequencing error rates. The long-read instrument PacBio CCS had the highest reference-based mapping rate and lowest non-mapping rate. The two long-read platforms PacBio CCS and PromethION/MinION showed the best sequence mapping in repeat-rich areas and across homopolymers. NovaSeq 6000 using 2 × 250-bp read chemistry was the most robust instrument for capturing known insertion/deletion events. This study serves as a benchmark for current genomics technologies, as well as a resource to inform experimental design and next-generation sequencing variant calling.
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页码:1129 / 1140
页数:11
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