DNBSEQ-G400RS NGS Genetic Sequencer – Witec AG

• High Accuracy
  No clonal errors and index hoping, >99% SNP/indel precision & sensitivity
• High Flexibility
  Versatile dual flow cells and a broad read spectrum up to SE400/PE300
• Efficient
  Explore four dedicated lanes in the FCL flow cell, each tailored for distinct sample inputs

Discover the Power of DNBSEQ^TM TECHNOLOGY

A Revolution in DNA Sequencing

DNB Loading

DNA Nanoballs (DNBs) inherently carry a negative charge under acidic conditions, a characteristic brought about by their phosphate backbone. On the other hand, our slide surface is specially designed to carry a positive charge. The natural interplay between these opposing charges serves as the primary mechanism enabling DNBs to adhere firmly to the slide surface. To ensure the DNBs’ sustained positioning over hundreds of cycles, MGI utilizes specially developed loading buffers. These buffers maintain the integrity of the signals throughout the process, preventing any compromise in data quality. Moreover, MGI has fine-tuned the DNBs to match the size of the active sites on the slides. This precision ensures each active site accommodates only a single DNB, maximizing effective spot yield and enhancing overall sequencing efficiency. This careful orchestration of DNB size and slide design is part of MGI’s commitment to offering robust and accurate DNA sequencing solutions to scientists and researchers.

cPAS (Combinatorial Probe-Anchor Synthesis) Technology: This technique commences once the sequencing primers bind to the adapter region of the DNA Nanoball (DNB). At this point, a DNA polymerase introduces a fluorescently tagged dNTP probe to the mix. Any unbound dNTP probes are carefully rinsed away before the DNB Flow Cell is imaged. This image captures the fluorescence signals, which are then converted into digital data. The base information, or DNA sequence, is subsequently determined using MGI’s proprietary base-calling software. Following the imaging phase, a regeneration reagent is introduced. This agent effectively removes the fluorescent dye and readies the DNBs for the next sequencing cycle. Notably, MGI has significantly reduced the sequencing reaction time to less than one minute. This substantial improvement is attributed to enhancements in MGI’s sequencing biochemistry and the discovery of a superior sequencing polymerase. This particular polymerase was identified from an extensive screening process involving tens of thousands of mutants, showcasing MGI’s commitment to delivering the most efficient and accurate DNA sequencing process for researchers and scientists.

2nd Strand Preparation

Once the sequencing of the first strand is complete, the synthesis of the second strand is initiated. This is accomplished by introducing primers specifically designed for 2nd strand generation and a special type of polymerase that exhibits strand displacement activity. The polymerase elongates the new primer until it encounters the original sequenced strand. At this point, it displaces the initial sequencing strand, thus creating a new single-stranded template. This second strand has been optimized to maximize its length while ensuring its attachment to the original DNA Nanoball (DNB). Upon hybridizing the 2nd strand sequencing primer, the same sequencing chemistry used for the first strand sequencing is employed again. It’s worth noting that the newly generated second strand template contains more copies of the insert DNA. This results in a significantly stronger signal and enhances the sequencing accuracy of the second strand. This process design exemplifies the dedication to achieving optimal sequencing fidelity.

Base Calling Algorithm

The sophisticated base-calling algorithm calculates base calls and their respective quality based on the signal intensities captured across all channels. The correlation between signal characterization and sequencing errors is well understood and grounded in established data models. From this, we predict sequencing errors for unknown samples, which are calculated according to their signal characterizations. All quality scores adhere to the recognized phred-33 standard. To improve base call accuracy, MGI has engineered a proprietary Sub-pixel Registration algorithm, allowing for image intensity extraction at a more granular, sub-pixel level. This unique approach greatly enhances the precision of base call determination. This cutting-edge technology, inclusive of a GPU-accelerated algorithm, has significantly elevated both the speed and accuracy of data processing. Through the optimization of execution efficiency and real-time image analysis and base calling, MGI ensure this technology stands at the forefront of the industry.

Hardware Platform

Performance Parameters