Comparative analysis of 7 short-read sequencing platforms using the Korean Reference Genome: MGI and Illumina sequencing benchmark for whole-genome sequencing.
Comparative analysis of 7 short-read sequencing platforms using the Korean Reference Genome: MGI and Illumina sequencing benchmark for whole-genome sequencing.
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使用韩国参考基因组:MGI和Illumina测序基准对7个短读测序平台进行全基因组测序的比较分析。
DOI:
10.1093/gigascience/giab014
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发表时间:
2021-03-12
期刊:
影响因子:
9.2
通讯作者:
Bhak J
中科院分区:
文献类型:
--
作者:
Kim HM;Jeon S;Chung O;Jun JH;Kim HS;Blazyte A;Lee HY;Yu Y;Cho YS;Bolser DM;Bhak J
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. 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. 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.
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影响因子:
7
作者:
Huddleston J;Chaisson MJP;Steinberg KM;Warren W;Hoekzema K;Gordon D;Graves-Lindsay TA;Munson KM;Kronenberg ZN;Vives L;Peluso P;Boitano M;Chin CS;Korlach J;Wilson RK;Eichler EE
通讯作者:
Eichler EE
影响因子:
4.4
作者:
Oyola SO;Otto TD;Gu Y;Maslen G;Manske M;Campino S;Turner DJ;Macinnis B;Kwiatkowski DP;Swerdlow HP;Quail MA
通讯作者:
Quail MA
影响因子:
30.8
作者:
通讯作者:
--
影响因子:
3.7
作者:
Rhodes J;Beale MA;Fisher MC
通讯作者:
Fisher MC
影响因子:
9.2
作者:
Fang C;Zhong H;Lin Y;Chen B;Han M;Ren H;Lu H;Luber JM;Xia M;Li W;Stein S;Xu X;Zhang W;Drmanac R;Wang J;Yang H;Hammarström L;Kostic AD;Kristiansen K;Li J
通讯作者:
Li J