GenoLab M* High-throughput Sequencing Platform
The high-throughput sequencing system GenoLab M* adopts the surface-restricted fluorescence sequencing technique (SURFseq) based on surface amplification to identify the optical signals of bases. Its sequencing-by-synthesis approach delivers speed, flexibility, high accuracy, and low cost.
GenoLab M* can be configured to run 1 flowcell alone or 2 flowcells simultaneously---enabling a scalable solution tailored to your specific research needs. With single or dual flowcell options, the system can be tuned to meet output needs ranging from 37Gb to 300Gb per run, supporting a wide range of applications.
*Unless otherwise informed, GeneMind sequencing platform and related sequencing reagents are not available in the USA, Canada, Australia, Japan, Singapore, Western Europe, and Nordic countries yet.
High Integration
DNA template amplification and synthetic sequencing reactions are integrated on the surface of the flow cell. Libraries can be directly used for sequencing after preparation.
High Accuracy
Unique reversible base termination and sequencing reaction system, combined with a high-sensitivity fluorescence signal detection system to maximize sequencing accuracy.
High Compatibility
The system is compatible to mainstream NGS libraries, eliminating the need for users to redevelop samples preparation kits.
| Flow cell Type | Reads | Read Length | Output | Quality Scores | Run Time |
|---|---|---|---|---|---|
| FCM | 250M | SE75 | 18Gb | Q30>85% | ~13hrs |
| PE75 | 37Gb | Q30>85% | ~22hrs | ||
| PE150 | 75Gb | Q30>85% | ~38hrs | ||
| FCH | 500M | SE75 | 37Gb | Q30>85% | ~15hrs |
| PE75 | 75Gb | Q30>85% | ~28hrs | ||
| PE150 | 150Gb | Q30>85% | ~50hrs |
| Application \ Sample | FCM X1 | FCM X2 or FCH X1 | FCM X1+ FCHX1 | FCHX2 |
|---|---|---|---|---|
| 250M | 500M | 750M | 1000M | |
| NIPT Standard >5 M unique reads/sample (SE75) |
32 | 64 | 96 | 128 |
| PGT-A > 3.5M unique reads/sample (SE75) |
32 | 64 | 96 | 128 |
| WES Panel Size:40Mb(PE150) 10Gb/sample |
6 | 12 | 18 | 24 |
| RNA-Seq >10M reads/sample |
24 | 48 | 72 | 96 |
| Obesity Detection 1Gb/sample (SE75) |
18 | 36 | 54 | 72 |
| mNGS >20M reads/sample （SE75） |
12 | 24 | 36 | 48 |
| Dimensions | 1170mm(L)×690mm(W)×600mm(H) |
|---|---|
| Weight | 200kg |
| Operating Environment | Temperature:19℃-25℃ Humidity:20%-80% relative humidity, non-condensing Altitude:below 300m |
| Instrument Control Computer | Operating System:Windows 10 CPU: IntelXeon Silver 4216 2.1GHz Memory:32GB*6 DDR4 Hard Drive1: 1TB SSD Hard Drive2: 10TB HDD |
| Description of Read Header | |
| Parameter | Description |
| <SN> | Serial number of the instrument. |
| <Barcodescore> | Numbers 0 to 9 are used to evaluate the sequencing quality value of the index sequence. The higher the value, the better the quality. |
| <Flowcell ID> | The ID of sequence chip. |
| <Lane> | Number of the lane, it can be L00、L01、L02、L03、L04，etc. L00 indicates that all lanes are merged. |
| <FOV> | Coordinate of the FOV. |
| <X> | X-coordinate of the cluster. |
| <Y> | Y-coordinate of the cluster. |
| <read1/2> | Read 1 or Read 2. |
| <N> | Default character. |
| <0> | Default character. |
| <Index> | The sequence of the index, if it is a combination of index1 and index2, it should be concatenated with symbol”+”. |
| Note：@<SN>:<Barcodescore>:<Flowcell ID>:<Lane>:<FOV>:<X>:<Y> <read1/2>:<N>:<0>:<Index> The header identifier is represented by the symbol “@”, while the parameter items are differentiated using the symbol “:”. |
|
