Introducing Max Reads

Maximizing throughput and decreasing cost for your single cell sequencing

$1 per Million Reads

3.2 Billion Reads per Run

(800M Paired Reads per Flow Cell)

16 Samples per Run

(4 Samples per Flow Cell)

The Ultimate Sequencing Kit for Single Cell Experiments

  • Designed specifically to complement popular 10x Genomics kits
  • Delivers high-throughput, low-cost sequencing on G4
  • Generates highly-accurate single cell and spatial data

Modular Throughput Built to Match Your Experiment Size

The Max Read Kit boosts the output of the 4 flow cell G4 Sequencing Platform to an unmatched 3.2 billion paired reads per run on the benchtop system.  The kits, specifically designed to complement the format of popular 10x Genomics assays, enable users the flexibility to sequence 4, 8, 12, or 16 single cell1 samples per run, each in its own lane.

4 Samples8 Samples12 Samples16 Samples
G4 (Max Read)Flow Cell1 x M3
(800M paired reads)
2 x M3
(1.6B paired reads)
3 x M3
(2.4B paired reads)
4 x M3
(3.2B paired reads)
Price / Sample$200$200$200$200
Run Time (days)1111
NextSeq 20002Flow CellP3 100 cycle
(1,200M paired reads)
P3 + P2 100 cycle
(2 runs, 1.6B paired reads)
2x P3 100 cycle
(2 runs, 2.4B paired reads)
3x P3 100 cycle
(3 runs, 3.6B paired reads)
Price / Sample$832$598$555$624
Run Time (days)1223

1Assumes 10,000 cells and 20,000 paired reads

2Reflects publicly available list prices

Powering Your Single Cell Needs

G4 is capable of delivering ~2x more single cell samples per year than NextSeq 2000.

Max Read Kit Specifications

Product1Run Time2Paired Reads per Flow Cell$ per M Paired Read$ per SampleQuality
Max Read™ Single Cell and Spatial Gene Expression~30 hours 800M$1.00$200>85% bases ≥ Q30
Max Read™ Spatial Gene Expression for FFPE~24 hours1.2B$0.67

Max Read Kits contain all components needed to prepare and sequence compatible 10x Genomics libraries on G4, including materials for sample preparation and loading, flow cell, reagent cartridge, and Max Read PhiX Control.

1Currently compatible with 10x Genomics Chromium™ 3′ and 5′ Gene Expression assays and Visium™ Spatial Gene Expression. Kits allow for 1 sample per lane.

2Assumes 10,000 cell/sample and 20,000 paired reads/cell for 1 sample per lane.

Max Read Applications

Max Read technology can be customized to many short read counting applications to generate up to 1 Billion paired reads per flow cell.

Contact us for more information on your application.

Small RNA Seq

miRNA is typically 18–25 nt in length and can be sequenced with 1×50 reads. These small, non-coding RNAs can regulate many biological functions.

cfDNA fragment counting

Analysis of abundance of short fragments of cell-free DNA can be informative for detecing fetal aneuploidy, organ rejection, or cancer.

Proteomics and Spatial Tagging

Proteomics and spatial profiling technologies with NGS readouts typically use short DNA tags that can be sequenced and attributed to specific targets.

mRNA Gene Expression

Gene Expression Profiling (GEP) is achieved by counting transcripts in coding genes. Short, single or paired reads are sufficient for accurate GEP.

CRISPR Screens

In pooled CRISPR Screens, the effects of genetically encoded perturbations can be analyzed through counting of short guide RNAs.

Request A Quote

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Download the Max Read Poster

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Talk to an Expert

Provide your information and a member of the Singular Genomics team will be in contact to schedule a meeting.

Download Max Read Poster

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Download Single Cell RNA-Seq Application Note

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Drew Spaventa

Drew founded Singular Genomics in 2016 serving as the CEO and Chairman. Drew is a serial entrepreneur and venture investor in the biotech industry and has been involved in the founding of several successful companies. Prior to Singular Genomics, Drew founded Truvian Sciences, a low volume blood testing technology aimed at making routine blood tests easier, less invasive, and more affordable. Drew was also involved in the founding of Aspen Neurosciences where he co-led the seed financing and helped assemble a world-class team to combat Parkinson’s Disease using a patient’s own stem cells. Drew was also a seed investor and held an operating role in Edico Genome which sold to Illumina in 2018.

Drew received an MBA from the Rady School of Management at the University of California, San Diego and a BA in Political Science and International Relations from the University of California, San Diego.

Max Reads Application Note