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.
It is now easier and more affordable than ever to do a genome project with PacBio Single Molecule, Real-Time (SMRT) Sequencing—the gold standard for generating contiguous, highly accurate reference genomes. Assembly is no longer a challenge with the wealth of bioinformatics tools developed and optimized for SMRT Sequencing data, enabling you to generate high-quality genome assemblies on any budget.
The PacBio Platform includes an extensive software portfolio that employs key advantages of SMRT (Single Molecule, Real-Time) Sequencing technology: extraordinarily long reads, highest consensus accuracy, uniform coverage and simultaneous epigenetic characterization. Core elements of our analytical portfolio include SMRT Analysis software, DevNet and SMRT Compatible products.
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.