With Single Molecule, Real-Time (SMRT) Sequencing and the Sequel System, you can easily and cost effectively generate highly accurate long reads (HiFi reads, >99% single-molecule accuracy) from genes or regions of interest ranging in size from several hundred base pairs to 20 kb. Target all types of variation across relevant genomic regions, including low complexity regions like repeat expansions, promoters, and flanking regions of transposable elements.
Single Molecule, Real-Time (SMRT) Sequencing on the Sequel II System enables easy and affordable generation of high-quality de novo assemblies. With megabase size contig N50s, accuracies >99.99%, and phased haplotypes, you can do more biology – capturing undetected SNVs, fully intact genes, and regulatory elements embedded in complex regions.
Highly accurate long reads – HiFi reads – with single-molecule resolution make Single Molecule, Real-Time (SMRT) Sequencing ideal for full-length 16S rRNA sequencing, shotgun metagenomic profiling, and metagenome assembly.
With the PacBio no-amplification (No-Amp) targeted sequencing method, you can now sequence through previously inaccessible regions of the genome to provide base-level resolution of disease-causing repeat expansions. By combining the CRISPR/Cas9 enrichment method with Single Molecule, Real-Time (SMRT) Sequencing on the Sequel Systems you are no longer limited by hard-to-amplify targets.
Shane Brubaker from renewable oil manufacturer Solazyme reports using the PacBio system to sequence the genome of a GC-rich strain of algae that couldn’t be fully assembled with short-read sequence data. He notes that CCS reads exceed Sanger quality at significantly lower cost.
In this poster presentation, PacBio scientist Richard Hall describes a collaboration with the University of Minnesota to use long-read metagenomic profiling with SMRT Sequencing to analyze the gut microbiome of a patient who had undergone a fecal transplant after chronic C. difficile infection.
Steve Kujawa from PacBio presents an AGBT poster reporting a study that characterized the use of SMRT Sequencing for the detection of low-frequency somatic variants. A multiplexed reference standard was amplified using the Multiplicom assay and sequenced on both the PacBio RS II and MiSeq System. Results indicate good concordance between the sequencing platforms, even at very low mutation frequencies.
In this AGBT poster, Cheryl Heiner from PacBio describes results from a variety of experiments optimizing a protocol for full-length 16S amplification for SMRT Sequencing.
In this poster presentation, PacBio scientist Ellen Paxinos describes an improved algorithm for circular consensus reads. Using this new algorithm, dubbed CCS2, it is possible to reach arbitrarily high quality across longer insert lengths at a lower cost and higher throughput than Sanger Sequencing. She shows results from the application of CCS2 to the characterization of the HIV-1 K103N drug-resistance associated mutation, which is both important clinically, and represents a challenge due to regional sequence context.
PacBio’s Jenny Ekholm presents this ASHG 2016 poster on a new method being developed that enriches for unamplified DNA and uses SMRT Sequencing to characterize repeat expansion disorders. Incorporating the CRISPR/Cas9 system to target specific genes allows for amplification-free enrichment to preserve epigenetic information and avoid PCR bias. Internal studies have shown that the approach can successfully be used to target and sequence the CAG repeat responsible for Huntington’s disease, the repeat associated with ALS, and more. The approach allows for pooling many samples and sequencing with a single SMRT Cell.
At AGBT 2017, Lars Paulin from the University of Helsinki presented this poster on whole genome sequencing of the virus responsible for progressive multifocal leukoencephalopathy, a rare and dangerous brain infection. His team used long amplicon analysis to resolve the whole virus genome from three patient samples, pooled them for SMRT Sequencing, and identified variants and rearrangements. This work represents the first time the viral genome was sequenced from patients.
This tutorial provides an overview of the Circular Consensus Sequence (CCS) analysis application. The CCS algorithm is used in applications that require distinguishing closely related DNA molecules in the same sample. Applications of CCS include profiling microbial communities, resolving viral populations and accurately identifying somatic variations within heterogeneous tumor cells. This tutorial covers features of SMRT Link v5.0.0.