FASTAseq S
FASTASeq S* is an ultra-high-speed sequencer, the platform delivers results from library preparation to data output in: 2 hours for SE50, 3 hours for SE100, and 6.8 hours for PE150 runs. The FASTASeq S* integrates an ultra-high-speed fluid system and a new enzyme reaction system, dramatically accelerating sequencing cycle efficiency. Enhanced by an AI-powered base-calling algorithm, the platform achieves exceptional signal recognition accuracy and speed. Optimized flow cell surface amplification technology further ensures high-quality data output——even with nanogram-level trace samples.
*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.
Swift
- 2.0 Hrs SE50, 3.0 Hrs SE100, 6.8 Hrs PE150
- Lightning chemistry plus reduce cycle time 50%
Sample
- User-friendly Interface
- 7 minutes NGS run preparation
Saving
- Reduce reagent consumption 70%
- Sequencing on demand
Social Responsible
- Smart waste sorting and processing design
- RT shipping and stroage for load-and-go reagent
| Flow cell | Flow Cell Type | Lane | Reads/FC | Specification | Read Length | Data Output | Q30 | TAT |
| Single | FCL | 1 | 20 M | SE100-D | SE100 | 2Gb | ≥90% | 3.0 hrs |
| 100cycles | PE50 | 4.0 hrs | ||||||
| 300cycles | PE150 | 6Gb | 6.8 hrs | |||||
| FCM | 1 | 40 M | SE100-D | SE100 | 4Gb | 3.5 hrs | ||
| 100cycles | PE50 | 4.5 hrs | ||||||
| 300cycles | PE150 | 12Gb | 7.5 hrs | |||||
| FCX | 1 | 40M | 600cycles | PE300 | 24Gb | ≥85% | / | |
| FCH | 1 | 80 M | SE100-D | SE100 | 8Gb | ≥90% | / | |
| 100cycles | PE50 | / | ||||||
| 300cycles | PE150 | 24Gb | / |
Note: FCL/FCM reagents available in Q3, 2025，FCX reagents will be available in Q1 2026，FCH reagents will be available in Q2 2026.
| Application | Data/sample | FCL-20 M | FCM- 40 M |
| mNGS (based on probe capture) | 2 M Reads/sample | 8 | 16 |
| mNGS (based on multiplex PCR) | 0.5 M Reads/sample | 32 | 64 |
| Small Oncology Panel（Tissue） | 0.2 Gb/sample | 24 | 48 |
| Small Oncology Panel（Plasma） | 2 Gb/sample | 2 | 4 |
| HLA Typing | 0.2 Gb/sample | 24 | 48 |
| PGT-A | 5 M Reads/sample | 3 | 6 |
| Microbial WGS | 1 Gb/sample | 4 | 8 |
| NGS Library QC | 0.1 Gb/sample | 160 | 320 |
| Dimensions （W × D × H） | 626 mm × 580 mm× 575 mm |
| Weight | about 100 kg |
| Power requirements | ≤ 1000 VA |
| 200-240 V~, 50/60 Hz | |
| Operating environment | Temperature: 19 ℃ – 25 ℃ |
| non-condensing:20‒80% relative humidity | |
| Altitude:≤3000 m | |
| Instrument control computer | CPU: Gen Inter(R) Core(TM) i7-13700T |
| Memory: 64 GB | |
| Hard drive: 4 TB | |
| Operating system: Windows 10 |
| 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 “:”. |
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