|Product Model||DNBSEQ-T7||DNBSEQ-G400||DNBSEQ-G400* |
For HotMPS Only
|Applications||Whole Genome Sequencing, Deep Exome Sequencing, Transcriptome Sequencing, and Targeted Panel Projects.||WGS, WES, Transcriptome sequencing, etc.||WGS, WES, Transcriptome sequencing, etc.||Small whole genome sequencing, targeted DNA/RNA panels, low-pass whole genome sequencing|
|Flow Cell Type||FC||FCL & FCS||FCL||FCL & FCS|
|Lane/Flow Cell++||1 lane||2 or 4 lanes||4 lanes||1 lane|
|Operation Mode||Ultra-high Throughput||High Throughput||High Throughput||Medium Throughput|
|Max. Throughput / RUN||6TB||1440GB||720GB||150GB|
|Effective Reads / Flow Cell||5000M||1500-1800M||1500-1800M||500M / 100M|
|Average run time||24~30 hours for PE150 sequencing||FCS: 13~37 hours FCL: 14~109 hours||15.5-50.5 hours||9~40 hours|
|Min. Read Length||PE100||SE50||SE50||SE50|
|Max. Read Length||PE150||SE400/PE200||PE100||PE150|
Recommendation of Application
|Application Type||Application||Sample Type||Lib prep||Suitable Sequencer||Sequencing and Analysis||Report|
|Reproductive Health||NIPT||Peripheral blood||DNBSEQ-G50|
|CNV||Amniotic fluid, villi, abortion tissue||DNBSEQ-G50|
|Whole genome sequecing||WGS||Blood, saliva, gDNA||DNBSEQ-G400, DNBSEQ-G400 FAST, DNBSEQ-T7|
|Whole Exome Sequencing||WES||Blood, saliva, gDNA||DNBSEQ-G400, DNBSEQ-G400 FAST, DNBSEQ-T7|
|Microbial detection||Pathogen Fast Identification||Blood, Cerebrospinal fluid, Alveolar lavage fluid||DNBSEQ-G50, DNBSEQ-G400 FAST|
|Gut Microbiota||Stool Specimen||DNBSEQ-G50, DNBSEQ-G400 FAST|
|Microbial identification and resistant analysis||Blood culture||DNBSEQ-G50|
|Tumor||WES total solution||FFPE, Tissue, Blood||DNBSEQ-G400, DNBSEQ-G400 FAST|
|Hotspot gene detection||FFPE, Tissue||DNBSEQ-G50, DNBSEQ-G400 FAST|
|BRCA1/2 detection||Blood, Saliva, Cervical cells||DNBSEQ-G50, DNBSEQ-G400 FAST|
|Lung cancer, ALK, NTRK1, NRG1, RET, ROS1, FGFR3, Fusion, Variation, etc.||FFPE, Tissue||DNBSEQ-G50, DNBSEQ-G400 FAST|
|Plant||Molecular Breeding||Tissue, gDNA||DNBSEQ-G400, DNBSEQ-G400 FAST|
|Plant WGS||Tissue, gDNA||DNBSEQ-G400, DNBSEQ-G400 FAST, DNBSEQ-T7|
|RNA||Transcriptome Sequencing||Tissue, Cell, gDNA, RNA||DNBSEQ-G400, DNBSEQ-G400 FAST, DNBSEQ-T7|
|RNA-Seq||Tissue, Cell, gDNA, RNA||DNBSEQ-G400, DNBSEQ-G400 FAST, DNBSEQ-T7|
|Forensic||Individual identification||Blood, hair, Saliva, etc||DNBSEQ-G400, DNBSEQ-G400 FAST|
|Paternity Testing||Blood, Hair, Saliva, etc||DNBSEQ-G50|
MGI's DNA sequencing instruments utilize the state-of-the-art core technology called DNBSEQTM. DNBs (DNA nanoballs) are pumped with by the fluidics system and loaded onto a Patterned Array chip. Sequencing primer is then added and hybridized to the adaptor region of the DNB. The sequencing reaction starts by pumping sequencing reagents containing fluorescently labeled dNTP probes and DNA polymerase. Images are taken after the fluorescently labeled probes on the DNB are excited with lasers. The images are then converted into a digital signal using MGI's propriety software. This information is then used to determine the DNA sequence of the sample.
All sequencing technologies relating to DNBs are part of DNBSEQTM. It includes: DNA single strand circularization and DNB preparation technology, Patterned Arrays, DNB loading, cPAS (combinatorial Probe Anchor Synthesis), Pair-End Sequencing technology on DNBs, fluidics and imaging systems, base calling algorithms, etc. cPAS technology has been widely used on various sequencing platforms including BGISEQ-50, BGISEQ-500, DNBSEQ-G50, DNBSEQ-G400, DNBSEQ-T7, etc.
Compared to other existing sequencing platforms, DNBSEQTM sequencing technology combines the advantages from low amplification error rates from DNBs and high density patterned arrays. These advantages dramatically improve sequencing accuracy, and have much lower duplication rates in WGS/WES applications. When combined with the PCR-free library construction method, DNBSEQTM also has higher SNP and indel detection accuracy compared to other platforms. In addition, the index hopping rate in DNBSEQTM platforms is much lower as compared to that of other platforms.
DNBs are optimized so they are the same size as the active sites on the slide surface. This ensures that only a single DNB is loaded onto each active site, which improves effective spot yield.
cPAS Technology: After sequencing primers are hybridized to the adapter region of the DNB, a fluorescently labeled dNTP probe is incorporated with a DNA polymerase (Figure 4). Any unbound dNTP probes are then washed away, DNB Flow Cell is imaged (Figure 4: Imaging), fluorescence signal is converted to digital signal, and the base information is determined using MGI's proprietary base-calling software. After the image is taken, regeneration reagent is added to remove the fluorescent dye and prepares the DNBs for the next cycle
The sequencing reaction time has been reduced to less than one minute due to significant improvements in sequencing biochemistry, as well as the identification of a superior sequencing polymerase screened from tens of thousands of mutants.
After finishing the 1st strand sequencing, the 2nd strand generation primers and a polymerase with strand displacement activity are added to initiate 2nd strand synthesis. The polymerase will extend the new primer until it reaches the original sequenced strand, at which point it will displace the original sequencing strand to form a new single stranded template. The newly generated 2nd strand is optimized to maximize the length of the strand while ensuring the strand remains attached to the original DNB. After the 2nd strand sequencing primer is hybridized, the same sequencing chemistry is used for 2nd strand sequencing as was used for 1st strand sequencing (Figure 5). The new 2nd strand template has many more copies of insert DNA which yields much stronger signal and increased sequencing accuracy for the 2nd strand.
Base calls and base call quality is calculated based on the signal intensities from all channels. The relationship between signal characterization and sequencing error is well established based on known data models. Predicted sequencing errors for unknown samples are calculated based on signal characterization. Quality scores are based on phred-33 standard.
MGI has developed a propriety Sub-pixel Registration algorithm, which enables image intensity extraction at the sub-pixel level, and greatly improves base call accuracy.
Our industry-leading technology has dramatically increased data processing speed and accuracy through integration of a GPU accelerated algorithm, optimization of execution efficiency, and real time image analysis and base calling.