---
title: Questions about MGI sequencing data?
description: Discover how SAGC's diverse MGI and Illumina sequencing platforms offer tailored, efficient, and cost-effective genomic solutions for a wide range of applications.
---

[News ](https://sa-genomics.com.au/blog)

# [Questions about MGI sequencing data?](https://sa-genomics.com.au/blog/mgi_data_comparison)

 Written by [SAGC](https://sa-genomics.com.au/blog/author/sagc) | Sep 30, 2024 2:37:25 AM

## Questions about MGI sequencing?

The SAGC offers both MGI and Illumina short-read NGS platforms – small, mid and high-throughput sequencers. This breadth of options enables us to better match to project requirements and gives our clients the most efficient and cost-effective sequencing options. 

The SAGC is the Only Core Genomics Facility in Australia with both the MGI DNBSEQ-T7 and DNBSEQ-G400, covering a wide range of throughput from 200 million to 24 billion read pairs with cost effectiveness. The ultra high-speed T7 can run 1 to 4 flow cells independently (each generating up to 6 billion read pairs depending on library type). The mid-throughput DNBSEQ-G400 is capable of running 4 lanes independently.

Having this wide range of sequencers and more flexible formats reduces the need for pooling samples and improves turnaround time.

**Sample throughput by Application Type for MGI DNBSEQ G400 and T7 Sequencers******

**Why MGI? **

**Illumina libraries are compatible with MGI, but the reverse is not true. **  
This stems from differences with the sequencing chemistry. Both use optical reading of fluorescent nucleotides, however, Illumina uses ‘*bridge amplification*’ to replicate the same DNA fragments to improve signal detection. MGI’s DNBseq technology involves the generation of nanoscale DNA balls through *rolling circle amplification*. 

 

**Enabling Single Cell and Spatial Profiling from MGI**

In addition to running any standard large genomics applications (i.e., WGS, WES, RNA-seq, single-cell), MGI sequencing is required for MGI spatial profiling (STOmics) and MGI single-cell libraries (C4).

How does MGI data compare with Illumina?

Many peer-reviewed bench-marking studies have been published comparing MGI sequencing across different applications with Illumina and other NGS platforms (*see references below*). The SAGC has performed its own head-to-head comparisons and made the following overall conclusions from these data sets: 

- Overall quality and accuracy were very good and highly correlated across platforms. 

- More reads were mapped to genes and transcripts with MGI data.

 

Other Comparison Studies:

1. Kim, H.-M. et al. Comparative analysis of 7 short-read sequencing platforms using the Korean Reference Genome: MGI and Illumina sequencing benchmark for whole-genome sequencing. GigaScience 10, giab014 (2021).
2. [Jeon, S. A. *et al*. Comparison between MGI and Illumina sequencing platforms for whole genome sequencing. Genes Genom 43, 713–724 (2021).](https://doi.org/10.1007/s13258-021-01096-x)
3. Patterson, J. et al. Impact of sequencing depth and technology on de novo RNA-Seq assembly. BMC Genomics 20, 604 (2019).
4. [Li, Q. et al. Reliable multiplex sequencing with rare index mis-assignment on DNB-based NGS platform. BMC Genomics 20, 215 (2019).](https://doi.org/10.1186/s12864-019-5569-5)

<https://aus01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.1186%2Fs12864-019-5569-5&data=05%7C02%7CJoel.Bathe%40sahmri.com%7C227206cca6f7404a2fa008dcd6da4b05%7Ca264755d215f486fb5bb00cd4b3a5058%7C0%7C0%7C638621480251138794%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=g6AaBwbZYLvo7pYBtkNjDvRqZTaFv2mpn6uxSpwz2NQ%3D&reserved=0> 

[Touch base](mailto:SAGC@sahmri.com) if you have questions or if you would like to book a free project consultation.  

 

Why the SAGC? 

- ISO/IEC 17025 Accredited Laboratory 

- Best NGS Economics in Australia 

- Only Genomics Core Offering 3x Spatial Transcriptomics Platforms 
- Dedicated Bioinformatics Team
  
   

 

 

 

[View full post](https://sa-genomics.com.au/blog/mgi_data_comparison)

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