Editing DNA sequencer (section)

=== MGI ===
[[MGI (company)|MGI]] produces high-throughput sequencers for scientific research and clinical applications such as DNBSEQ-G50, DNBSEQ-G400, and DNBSEQ-T7, under a proprietary DNBSEQ technology.<ref>{{Cite web|last1=LeMieux|first1=Julianna|last2=PhD|date=2020-12-03|title=Genomics Analysis Moves to the Next Level|url=https://www.genengnews.com/insights/genomics-analysis-moves-to-the-next-level/|access-date=2021-12-20|website=GEN - Genetic Engineering and Biotechnology News|language=en-US}}</ref> It is based upon [[DNA nanoball sequencing]] and combinatorial probe anchor synthesis technologies, in which DNA nanoballs (DNBs) are loaded onto a patterned array chip via the fluidic system, and later a sequencing primer is added to the adaptor region of DNBs for [[Nucleic acid hybridization|hybridization]]. DNBSEQ-T7 can generate short reads at a very large scale—up to 60 human genomes per day.<ref>{{Cite journal|last1=Kim|first1=Hak-Min|last2=Jeon|first2=Sungwon|last3=Chung|first3=Oksung|last4=Jun|first4=Je Hoon|last5=Kim|first5=Hui-Su|last6=Blazyte|first6=Asta|last7=Lee|first7=Hwang-Yeol|last8=Yu|first8=Youngseok|last9=Cho|first9=Yun Sung|last10=Bolser|first10=Dan M|last11=Bhak|first11=Jong|date=2021-03-01|title=Comparative analysis of 7 short-read sequencing platforms using the Korean Reference Genome: MGI and Illumina sequencing benchmark for whole-genome sequencing|url=https://doi.org/10.1093/gigascience/giab014|journal=GigaScience|volume=10|issue=3|pages=giab014|doi=10.1093/gigascience/giab014|pmid=33710328|pmc=7953489|issn=2047-217X}}</ref> DNBSEQ-T7 was used to generate 150 bp paired-end reads, sequencing 30X, to sequence the genome of SARS-CoV-2 or COVID-19 to identify the genetic variants predisposition in severe COVID-19 illness.<ref>{{Cite journal|last1=C Anukam|first1=Kingsley|last2=E Bassey|first2=Bassey|year=2020|title=Genetic Variants predisposition to Severe COVID-19 Illness Identified in a Healthy Nigerian Man, using Nebula Genomics Gene.iobio Platform|url=http://www.jomls.org/en/publications/acceptedpapers/vol30no4/Anukam_and_Bassey.pdf|journal=Journal of Medical Laboratory Science|volume=30|issue=4|pages=62–75|doi=10.5281/zenodo.4399050|s2cid=244988198 |issn=1116-1043}}</ref> Using a novel technique the researchers from [[China National GeneBank]] sequenced [[polymerase chain reaction|PCR]]-free libraries on MGI's PCR-free DNBSEQ arrays to obtain for the first time a true PCR-free [[whole genome sequencing]].<ref>{{cite bioRxiv |last1=Shen |first1=Hanjie |last2=Liu |first2=Pengjuan |last3=Li |first3=Zhanqing |last4=Chen |first4=Fang |last5=Jiang |first5=Hui |last6=Shi |first6=Shiming |last7=Xi |first7=Yang |last8=Li |first8=Qiaoling |last9=Wang |first9=Xiaojue |last10=Zhao |first10=Jing |last11=Liang |first11=Xinming |last12=Xie |first12=Yinlong |last13=Wang |first13=Lin |last14=Tian |first14=Wenlan |last15=Berntsen |first15=Tam |last16=Alexeev |first16=Andrei |last17=Luo |first17=Yinling |last18=Gong |first18=Meihua |last19=Li |first19=Jiguang |last20=Xu |first20=Chongjun |last21=Barua |first21=Nina |last22=Drmanac |first22=Snezana |last23=Dai |first23=Sijie |last24=Mi |first24=Zilan |last25=Ren |first25=Han |last26=Lin |first26=Zhe |last27=Chen |first27=Ao |last28=Zhang |first28=Wenwei |last29=Mu |first29=Feng |last30=Xu |first30=Xun |last31=Zhao |first31=Xia |last32=Jiang |first32=Yuan |last33=Drmanac |first33=Radoje |title=Advanced Whole Genome Sequencing Using an Entirely PCR-free Massively Parallel Sequencing Workflow |date=23 December 2019 |biorxiv=10.1101/2019.12.20.885517}}</ref> MGISEQ-2000 was used in single-cell RNA sequencing to study the underlying pathogenesis and recovery in COVID-19 patients, as published in [[Nature Medicine]].<ref>{{Cite journal|last1=Liao|first1=Mingfeng|last2=Liu|first2=Yang|last3=Yuan|first3=Jing|last4=Wen|first4=Yanling|last5=Xu|first5=Gang|last6=Zhao|first6=Juanjuan|last7=Cheng|first7=Lin|last8=Li|first8=Jinxiu|last9=Wang|first9=Xin|last10=Wang|first10=Fuxiang|last11=Liu|first11=Lei|date=May 12, 2020|title=Single-cell landscape of bronchoalveolar immune cells in patients with COVID-19|journal=Nature Medicine|language=en|volume=26|issue=6|pages=842–844|doi=10.1038/s41591-020-0901-9|pmid=32398875|s2cid=218593518|issn=1546-170X|doi-access=free}}</ref>