SURFSeq 5000* High-throughput Sequencing Platform
SURFSeq 5000* is a bench-top high-throughput sequencing platform with multiple application scenarios, fast sequencing speed, good data quality and low startup cost. Its versatile function can meet the performance requirements of users in whole genome sequencing, targeted sequencing, transcriptome sequencing, metagenomic sequencing, methylation sequencing and other technical fields. SURFSeq 5000* can fully assist end-users no matter in scientific discovery research or clinical diagnosis usage.
*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.
Wide range of application
Dual flow cell to support 5 different modes/run. Compatible with most common used applications.
High Accuracy
Unique reversible base termination and sequencing reaction system, combined with a high-sensitivity fluorescence signal detection system to maximize sequencing accuracy.
Ulter-high sequencing speed
FCM PE150 could finish one run within 24 hours. Flexible FQ upload node, support one or two flow cell in one run.
| Flowcell | Lane | Throughput（Reads/FC） | Type | Read Length | Data output | Q value (balanced mode) |
TAT |
| FCM | 4 | 500 M | 100 cycles | SE100 | 50 Gb×2 | Q30≥90% Q40≥85% |
12 hr |
| PE50 | 50 Gb×2 | 12 hr | |||||
| 200 cycles | PE100 | 100 Gb×2 | 18 hr | ||||
| 300 cycles | PE150 | 150 Gb×2 | 22 hr | ||||
| 600 cycles | PE300 | 300 Gb ×2 | 48 hr | ||||
| FCH | 4 | 2000 M | 50cycles | SE50 | 100 Gb×2 | 14 hr | |
| 100cycles | SE100 | 200 Gb×2 | 21 hr | ||||
| PE50 | 200 Gb×2 | 21 hr | |||||
| 200cycles | PE100 | 400 Gb×2 | 26 hr | ||||
| 300cycles | PE150 | 600 Gb×2 | 30 hr | ||||
| FCP | 4 | 3600 M | 50 cycles | SE50 | 180 Gb×2 | 16 hr | |
| 100 cycles | SE100 | 360 Gb×2 | 24 hr | ||||
| 200 cycles | PE100 | 720 Gb×2 | 32 hr | ||||
| 300 cycles | PE150 | 1.1 Tb×2 | 38 hr |
|
Application |
Read length |
Data/sample |
FCM*1 |
FCM*2 |
FCH*1 |
FCM*1+FCH*1 |
FCH*2 |
|
500M |
1000M |
2000 M |
2500M |
4000M |
|||
|
WGS |
PE150 |
100Gb/sample |
1 |
2 |
6 |
7 |
12 |
|
Target panel（FFPE） |
PE150 |
5Gb/sample |
25 |
50 |
100 |
125 |
200 |
|
Target panel （ctDNA） |
PE50 |
10Gb/sample |
4 |
8 |
16 |
20 |
32 |
|
RNAseq |
PE150 |
10Gb/sample |
12 |
25 |
50 |
62 |
100 |
|
WES |
PE150 |
10Gb/sample |
12 |
25 |
50 |
62 |
100 |
|
Single cell |
PE150 |
60Gb/sample |
2 |
4 |
8 |
10 |
16 |
| Dimensions | 1090mm(L)×690mm(W)×810mm(H) |
| Weight | 240kg |
| Operating Environment | Temperature:19℃-25℃ Humidity:20%-80% relative humidity, non-condensing Altitude:below 300m |
| Instrument Control Computer | Operating System:Windows 10 x64 CPU: Intel Xeon Gold 6342 Memory:256GB Hard Drive1: 2TB SSD Hard Drive2: 17TB 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 “:”. |
|
