Delivering highly accurate long reads to drive discovery in life science
What is SMRT Sequencing?
Single Molecule, Real-Time (SMRT) Sequencing is the core technology powering our long-read sequencing platforms. This innovative approach was the first of its kind and is now a proven technology used in all fields of life science. Explore each of the SMRT Sequencing Advantages below.
With reads tens of kilobases in length you can readily assemble complete genomes and sequence full-length transcripts.
Explore the benefits of long reads
SMRT Sequencing provides exceptional read lengths without compromising throughput or accuracy. With our two sequencing modes you can optimize your results. Learn more about our Sequencing Modes and the difference HiFi reads make.
Continuous Long-Read Sequencing
Produce long reads with half the data in reads >50 kb with up to 160 Gb of data per SMRT Cell
A 35 kb size-selected E. coli library using the SMRTbell Express Template Prep Kit 2.0 on a Sequel II System (1.0 Chemistry, Sequel II System Software v7.0, 15-hour movie)*.
Highly Accurate Long-Read Sequencing
Generate HiFi reads with half the data >160 kb and up to 320 Gb of data per SMRT Cell
A 11 kb size-selected human library using the SMRTbell Template Prep Kit 1.0 on a Sequel II System (1.0 Chemistry, Sequel II System Software v7.0, 30-hour movie)*.
*Read lengths, reads/data per SMRT Cell and other sequencing performance results vary based on sample quality/type and insert size.
Sequencing free of systematic error achieves >99.999% accuracy for Sanger-quality reads.
Learn more about high accuracy
With unmatched accuracy, low sequencing-context bias, and accurate mapping of reads, SMRT Sequencing provides the information needed to confidently call and detect all variants.
Consensus accuracy is a function of coverage and chemistry. The data above is based on a bacterial genome run on the Sequel II System (1.0 Chemistry, Sequel II System Software v7.0). Single-molecule accuracy has similar coverage requirements.
No bias based on GC content means you can sequence through region inaccessible to other technologies.
Discover how uniform coverage lets you see more
Readily sequence through AT-rich or GC-rich regions, highly repetitive sequences, long homopolymers, and palindromic sequences with SMRT Sequencing.
Mean coverage per GC window across a human sample. Data generated with a 35 kb human library on a Sequel II System (1.0 Chemistry and Sequel II System Software v7.0.)
Capturing sequence data from native DNA or RNA molecules enables unparalleled read lengths with 99% single-molecule accuracy.
See the difference single-molecule resolution makes
Readily achieve high-quality reads to confidently resolve variants of all types.
Generate up to 2 million reads per SMRT Cell 8M with >99% (Q20) 9-13 kb reads.
Data from a 11 kb size-selected human library using the SMRTbell Template Prep Kit 1.0 on a Sequel II System (1.0 Chemistry, Sequel II System Software v7.0, 30-hour movie)*.
*Read lengths, reads/data per SMRT Cell 8M and other sequencing performance results vary based on sample quality/type and insert size.
With no PCR amplification step, base modifications are directly detected during sequencing.
Get more from your sequencing with epigenetics
Measurement of variation in polymerase kinetics of DNA base incorporation eliminates the need for chemical modification to detect base modifications. This allows you to capture sequence and epigenetic information in a single experiment.
How Does SMRT Sequencing Work?
SMRT Sequencing enables simultaneous collection of data from millions of wells using the natural process of DNA replication to sequence long fragments of native DNA or RNA.
Original Publication: Eid, J., et al. (2009). Real-time DNA sequencing from single polymerase molecules. Science, 323(5910), 133–138.
What Can You Do With SMRT Sequencing?
Explore the full range of SMRT Sequencing applications.
|Whole Genome Sequencing|
For humans, plants, animals and microbes including de novo assembly and variant detection
Understand variants among bacterial, viral and cancer cell populations
In-depth analysis of cDNA sequences across the entire transcriptome or targeted genes
Detect DNA modifications in your samples while you sequence on the PacBio platform
Study relevant genome targets across any regions of interest
Where Can You Get Started with SMRT Sequencing?
Learn more about the Sequel II System
Contact a PacBio Certified Service Provider
Have Questions about SMRT Sequencing?
Connect with a PacBio Scientist:
- Wenger, Aaron M et al. (2019) Accurate circular consensus long-read sequencing improves variant detection and assembly of a human genome. Nature biotechnology
- Eichler, Evan E et al. (2019) Genetic Variation, Comparative Genomics, and the Diagnosis of Disease. The New England journal of medicine
- Mantere, Tuomo et al. (2019) Long-Read Sequencing Emerging in Medical Genetics Frontiers in genetics
- Wang, Bo et al. (2019) Reviving the Transcriptome Studies: An Insight into the Emergence of Single-molecule Transcriptome Sequencing Frontiers in genetics
- Pollard, Martin O et al. (2018) Long reads: their purpose and place. Human molecular genetics
- Sedlazeck, Fritz J et al. (2018) Accurate detection of complex structural variations using single-molecule sequencing. Nature methods
- Ardui, Simon et al. (2018) Single molecule real-time (SMRT) sequencing comes of age: applications and utilities for medical diagnostics. Nucleic acids research
- Nakano, Kazuma et al. (2017) Advantages of genome sequencing by long-read sequencer using SMRT technology in medical area. Human cell
- Chaisson, Mark J P et al. (2015) Genetic variation and the de novo assembly of human genomes. Nature reviews. Genetics
- Rhoads, Anthony et al. (2015) PacBio sequencing and its applications. Genomics, proteomics & bioinformatics
- Berlin, Konstantin et al. (2015) Assembling large genomes with single-molecule sequencing and locality-sensitive hashing. Nature biotechnology
- Huddleston, John et al. (2014) Reconstructing complex regions of genomes using long-read sequencing technology. Genome research
- Koren, Sergey et al. (2013) Reducing assembly complexity of microbial genomes with single-molecule sequencing. Genome biology
- Travers, Kevin J et al. (2010) A flexible and efficient template format for circular consensus sequencing and SNP detection. Nucleic acids research
- Flusberg, Benjamin A et al. (2010) Direct detection of DNA methylation during single-molecule, real-time sequencing. Nature methods
- Eid, John et al. (2009) Real-time DNA sequencing from single polymerase molecules. Science