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Comparative analysis of 7 short-read sequencing platforms using the Korean Reference Genome: MGI and Illumina sequencing benchmark for whole-genome sequencing
BACKGROUND: DNBSEQ-T7 is a new whole-genome sequencer developed by Complete Genomics and MGI using DNA nanoball and combinatorial probe anchor synthesis technologies to generate short reads at a very large scale—up to 60 human genomes per day. However, it has not been objectively and systematically...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7953489/ https://www.ncbi.nlm.nih.gov/pubmed/33710328 http://dx.doi.org/10.1093/gigascience/giab014 |
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author | Kim, Hak-Min Jeon, Sungwon Chung, Oksung Jun, Je Hoon Kim, Hui-Su Blazyte, Asta Lee, Hwang-Yeol Yu, Youngseok Cho, Yun Sung Bolser, Dan M Bhak, Jong |
author_facet | Kim, Hak-Min Jeon, Sungwon Chung, Oksung Jun, Je Hoon Kim, Hui-Su Blazyte, Asta Lee, Hwang-Yeol Yu, Youngseok Cho, Yun Sung Bolser, Dan M Bhak, Jong |
author_sort | Kim, Hak-Min |
collection | PubMed |
description | BACKGROUND: DNBSEQ-T7 is a new whole-genome sequencer developed by Complete Genomics and MGI using DNA nanoball and combinatorial probe anchor synthesis technologies to generate short reads at a very large scale—up to 60 human genomes per day. However, it has not been objectively and systematically compared against Illumina short-read sequencers. FINDINGS: By using the same KOREF sample, the Korean Reference Genome, we have compared 7 sequencing platforms including BGISEQ-500, DNBSEQ-T7, HiSeq2000, HiSeq2500, HiSeq4000, HiSeqX10, and NovaSeq6000. We measured sequencing quality by comparing sequencing statistics (base quality, duplication rate, and random error rate), mapping statistics (mapping rate, depth distribution, and percent GC coverage), and variant statistics (transition/transversion ratio, dbSNP annotation rate, and concordance rate with single-nucleotide polymorphism [SNP] genotyping chip) across the 7 sequencing platforms. We found that MGI platforms showed a higher concordance rate for SNP genotyping than HiSeq2000 and HiSeq4000. The similarity matrix of variant calls confirmed that the 2 MGI platforms have the most similar characteristics to the HiSeq2500 platform. CONCLUSIONS: Overall, MGI and Illumina sequencing platforms showed comparable levels of sequencing quality, uniformity of coverage, percent GC coverage, and variant accuracy; thus we conclude that the MGI platforms can be used for a wide range of genomics research fields at a lower cost than the Illumina platforms. |
format | Online Article Text |
id | pubmed-7953489 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-79534892021-03-17 Comparative analysis of 7 short-read sequencing platforms using the Korean Reference Genome: MGI and Illumina sequencing benchmark for whole-genome sequencing Kim, Hak-Min Jeon, Sungwon Chung, Oksung Jun, Je Hoon Kim, Hui-Su Blazyte, Asta Lee, Hwang-Yeol Yu, Youngseok Cho, Yun Sung Bolser, Dan M Bhak, Jong Gigascience Data Note BACKGROUND: DNBSEQ-T7 is a new whole-genome sequencer developed by Complete Genomics and MGI using DNA nanoball and combinatorial probe anchor synthesis technologies to generate short reads at a very large scale—up to 60 human genomes per day. However, it has not been objectively and systematically compared against Illumina short-read sequencers. FINDINGS: By using the same KOREF sample, the Korean Reference Genome, we have compared 7 sequencing platforms including BGISEQ-500, DNBSEQ-T7, HiSeq2000, HiSeq2500, HiSeq4000, HiSeqX10, and NovaSeq6000. We measured sequencing quality by comparing sequencing statistics (base quality, duplication rate, and random error rate), mapping statistics (mapping rate, depth distribution, and percent GC coverage), and variant statistics (transition/transversion ratio, dbSNP annotation rate, and concordance rate with single-nucleotide polymorphism [SNP] genotyping chip) across the 7 sequencing platforms. We found that MGI platforms showed a higher concordance rate for SNP genotyping than HiSeq2000 and HiSeq4000. The similarity matrix of variant calls confirmed that the 2 MGI platforms have the most similar characteristics to the HiSeq2500 platform. CONCLUSIONS: Overall, MGI and Illumina sequencing platforms showed comparable levels of sequencing quality, uniformity of coverage, percent GC coverage, and variant accuracy; thus we conclude that the MGI platforms can be used for a wide range of genomics research fields at a lower cost than the Illumina platforms. Oxford University Press 2021-03-12 /pmc/articles/PMC7953489/ /pubmed/33710328 http://dx.doi.org/10.1093/gigascience/giab014 Text en © The Author(s) 2021. Published by Oxford University Press GigaScience. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Data Note Kim, Hak-Min Jeon, Sungwon Chung, Oksung Jun, Je Hoon Kim, Hui-Su Blazyte, Asta Lee, Hwang-Yeol Yu, Youngseok Cho, Yun Sung Bolser, Dan M Bhak, Jong Comparative analysis of 7 short-read sequencing platforms using the Korean Reference Genome: MGI and Illumina sequencing benchmark for whole-genome sequencing |
title | Comparative analysis of 7 short-read sequencing platforms using the Korean Reference Genome: MGI and Illumina sequencing benchmark for whole-genome sequencing |
title_full | Comparative analysis of 7 short-read sequencing platforms using the Korean Reference Genome: MGI and Illumina sequencing benchmark for whole-genome sequencing |
title_fullStr | Comparative analysis of 7 short-read sequencing platforms using the Korean Reference Genome: MGI and Illumina sequencing benchmark for whole-genome sequencing |
title_full_unstemmed | Comparative analysis of 7 short-read sequencing platforms using the Korean Reference Genome: MGI and Illumina sequencing benchmark for whole-genome sequencing |
title_short | Comparative analysis of 7 short-read sequencing platforms using the Korean Reference Genome: MGI and Illumina sequencing benchmark for whole-genome sequencing |
title_sort | comparative analysis of 7 short-read sequencing platforms using the korean reference genome: mgi and illumina sequencing benchmark for whole-genome sequencing |
topic | Data Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7953489/ https://www.ncbi.nlm.nih.gov/pubmed/33710328 http://dx.doi.org/10.1093/gigascience/giab014 |
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