SURFSeq Q
SURFSeq Q* is an ultra-high throughput sequencer with a worldwide superb daily data output capacity. By integrating several innovative technologies, such as high-speed chemistry, new patterned array sequencing flow cell, AI base recognition algorithm, and other innovative technologies, SURFSeq Q* can achieve the Q40 score >=90% with a powerful productivity of 9Tb per day in a single run. Its superior data delivery capabilities and high accuracy can efficiently support scientific discovery and sequencing services, such as extensive population cohort studies and single-cell and spatial omics research.
*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.
Super Data Output
Ultra-high throughput: 14Tb/run
Powerful productivity: 9Tb/day, 20000+ WGS(30X)/year
Ultra-high Data Quality
Innovative sequencing chemistry+ AI based recognition algorithm
Capable of producing>=90% of output bases with a Q40 score
User-friendly Design
Automated individual lane loading for up to eight lanes per flow cell
Allow customer to obtain data from different applications of the same sequencing run
Support to resuming from the break-point continue sequencing
Post-run wash performed automatically after every sequencing run
Flow cell | Lane | Throughput(Reads/FC) | Type | Read Length | Data output | Q value | TAT | |
Q30 | Q40 | |||||||
FCM | 4 | 11.7 B | 50cycles | SE50 | 0.6 Tb×2 | ≥90% | ≥90% | 10 hr |
100cycles | SE100 | 1.2 Tb×2 | ≥90% |
≥90% |
13 hr | |||
PE50 | 1.2 Tb×2 | ≥90% | ≥90% | 13 hr | ||||
200cycles | PE100 | 2.3 Tb×2 | ≥90% | ≥90% | 19 hr | |||
300cycles | PE150 | 3.5 Tb×2 | ≥90% | ≥90% | 24 hr | |||
FCH | 8 | 23.3 B | 50 cycles | SE50 | 1.2 Tb×2 | ≥90% | ≥90% | 17 hr |
100 cycles | SE100 | 2.3 Tb×2 | ≥90% | ≥90% | 22 hr | |||
200 cycles | PE100 | 4.7 Tb×2 | ≥90% | ≥90% | 29 hr | |||
300 cycles | PE150 | 7 Tb×2 | ≥90% | ≥90% | 36 hr |
Note: FCM and FCH reagents will be available in Q2 2025
Application | Data/sample | FCM*1 | FCH*1/FCM*2 | FCM*1+FCH*1 | FCH*2 |
11.7 B | 23.3 B | 35B | 46.6B | ||
WGS | 120Gb/sample | 24 | 48 | 72 | 96 |
scRNA-seq | 60Gb/sample | 48 | 96 | 144 | 192 |
ctDNA | 30Gb/sample | 96 | 192 | 288 | 384 |
RNAseq | 10Gb/sample | 288 | 576 | 864 | 1152 |
WES | 10Gb/sample | 288 | 576 | 864 | 1152 |
Single cell | 60Gb/sample | 48 | 96 | 144 | 192 |
Dimensions W × D × H | 975 mm × 921 mm×1570 mm |
Weight | < 500 kg |
Power requirements | < 6000 W |
200-240 V~,50/60 Hz | |
Operating environment | Temperature: 19 ℃ – 25 ℃ |
non-condensing:20‒80% relative humidity | |
Instrument control computer | Altitude:≤2000 m |
CPU:Intel Xeon Gold 6326 ×2 | |
Memory: 2 TB | |
Solid-state drive: 3.7 TB | |
Hard disk drive: 76.3 TB | |
Operating system: Windows 10 ×64 |
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 the 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 “:”. |