Structural variation accounts for much of the variation among human genomes. Structural variants of all types are known to cause Mendelian disease and contribute to complex disease. Learn how long-read sequencing is enabling detection of the full spectrum of structural variants to advance the study of human disease, evolution and genetic diversity.
At Cold Spring Harbor Laboratory, scientists used SMRT Sequencing to decode one of the most challenging cancer genomes ever encountered. Along the way, they built a portfolio of open-access analysis tools that will help researchers everywhere make structural variation discoveries with long-read sequencing data.
Explore how long-read sequencing enables solving of rare and mendelian diseases.
To bring personalized medicine to all patients, cancer researchers need more reliable and comprehensive views of somatic variants of all sizes that drive cancer biology.
With highly accurate long reads (HiFi reads) from the Sequel II System, powered by Single Molecule, Real-Time (SMRT) Sequencing technology, you can comprehensively detect variants in a human genome. HiFi reads provide high precision and recall for single nucleotide variants (SNVs), indels, structural variants (SVs), and copy number variants (CNVs), including in difficult-to-map repetitive regions.
With the Sequel II System powered by Single Molecule, Real-Time (SMRT) Sequencing technology and SMRT Link v8.0, you can affordably and effectively detect structural variants (SVs), copy number variants, and large indels ranging in size from tens to thousands of base pairs. PacBio long-read whole genome sequencing comprehensively resolves variants in an individual with high precision and recall. For population genetics and pedigree studies, joint calling powers rapid discovery of common variants within a sample cohort.
Discover how HiFi reads enable every aspect of viral research, from understanding viral genomes to the host immune response.
The study of genomics has revolutionized our understanding of science, but the field of transcriptomics grew with the need to explore the functional impacts of genetic variation. While different tissues in an organism may share the same genomic DNA, they can differ greatly in what regions are transcribed into RNA and in their patterns of RNA processing. By reviewing the history of transcriptomics, we can see the advantages of RNA sequencing using a full-length transcript approach become clearer.
Fritz Sedlazeck, a postdoc at Johns Hopkins University, describes his structural variant detection tool Sniffles in this poster from AGBT 2016. Included: examples of structural variants that could not be detected with other algorithms.
Andrew Carroll, Director of Science at DNAnexus, presents how to greatly improve the accuracy of SV-calling by using long-read PacBio sequencing and fast and easy-to-run cloud-optimized apps like PBHoney, Parliament, and Sniffles.
At AGBT 2017, Mike Schatz from Johns Hopkins University and Cold Spring Harbor Laboratory presented data from sequencing, assembling, and analyzing personalized, phased diploid genomes with either Illumina, 10x Genomics, and PacBio SMRT Sequencing. Compared to the short-read-based methods, PacBio data assembled in large, complete contigs and contained the broadest range of structural variants with the best resolution. Plus: unexpected translocation findings with SMRT Sequencing, validated in follow-up studies.
In this ASHG 2017 presentation, Jonas Korlach, the CSO of PacBio shared updates on three applications featuring SMRT Sequencing on the Sequel System, highlighting structural variant detection, targeted sequencing and the Iso-Seq method of RNA sequencing. He provided details on structural variant calling using pbsv to call insertions and deletions and compared PacBio variant calling with other technologies. Korlach described how targeted sequencing can be used to interrogate repeat expansions, detect and phase minor variants and can access medically relevant but previously inaccessible gene targets. He presented research featuring the Iso-Seq method that identified isoforms, corrected previous isoform annotations and…
In this ASHG 2017 presentation, Han Brunner of Radboud University Medical Center presented research using SMRT Sequencing to detect structural variants to uncover the genetic causes of intellectual disability. He shared that long-read sequencing enabled detection of 25,000 structural variants per genome. Brunner presented data from patient trios to identify de novo structural variant candidates and ongoing validation work to determine the causative mutations of intellectual disability.
In this video, Aaron Wenger, a research scientist at PacBio, describes the use of long-read SMRT Sequencing to detect structural variants in the human genome. He shares that structural variations – such as insertions and deletions – impact human traits, cause disease, and differentiate humans from other species. Wenger highlights the use of SMRT Sequencing and structural variant calling software tools in a collaboration with Stanford University which identified a disease-causing genetic mutation.