Discover how HiFi reads enable every aspect of viral research, from understanding viral genomes to the host immune response.
Learn how Single Molecule, Real-Time (SMRT) Sequencing and the Sequel IIe System and will accelerate your research by delivering highly accurate long reads to provide the most comprehensive view of genomes, transcriptomes and epigenomes.
Discover the benefits of HiFi reads and learn how highly accurate long-read sequencing provides a single technology solution across a range of applications.
Learn why it is critically important to understand accuracy in DNA sequencing to distinguish important biological information from sequencing errors.
Ellen Paxinos, a scientist at PacBio, shares her AGBT poster on work done in collaboration with reference lab Monogram Biosciences using Single Molecule, Real-Time (SMRT) sequencing to detect minor species and variants in HCV. Using two genotypes mixed together, the team was able to detect variants down to 1% and to identify both viral haplotypes from the data. Paxinos says the study is a model for looking at genomic variation in chronic viral infection.
PacBio scientist Ellen Paxinos discusses a study presented at AGBT that gnerated single-molecule full genome sequencing of HIV 1 from two pairs of linked transmission from a Zambian cohort. Sequencing was done on full-length amplicons from the virus, and clustering accurately placed the virus from each pair together, distinguishing between the two pairs. Paxinos notes that 50 MB of sequence data was generated in less than four hours.
Ulf Gyllensten from Uppsala University used SMRT Sequencing to study multi-drug-resistant bacteria. Time to results was faster than other NGS platforms and generally resulted in complete genome assemblies, even for an organism with a 70% AT-rich genome. He also applied SMRT Sequencing for the characterization of HPV subtypes, important in cervical cancer.
Ulf Gyllensten speaks about advances in screening for HPV, his predictions for the widespread use of genome sequencing in the clinic, and applications using Single Molecule, Real-Time (SMRT) Sequencing for human genome studies.
Adam Ameur talks about a range of applications for which SMRT Sequencing had been useful in the SciLifeLab. Examples include analyzing a DNA translocation in chronic myeloid leukemia samples; studying the HPV genome; and sequencing the FADS region to understand fatty acid production.
Ben Murrell presents how he is using SMRT Sequencing to generate full-length HIV-1 envelope gene sequences to study the phylogeny of viral genes in response to antibody evolution. Plus: an analysis pipeline that can be used for genes in other viruses.
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.
In this AGBT poster, PacBio bioinformatician Matthew Seetin presents a new assembly for Aedes aegypti cell line, the mosquito responsible for spreading viruses like Dengue and Zika. SMRT Sequencing generated a gapless assembly with a contig N50 of 1.4 Mb, compared to 82 kb in the previous assembly. The genome features a number of transposable elements and long tandem repeats.
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.