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August 19, 2021  |  Products, procedures + protocols

Application note — Considerations for using the low and ultra-low DNA input workflows for whole genome sequencing

As the foundation for scientific discoveries in genetic diversity, sequencing data must be accurate and complete. With highly accurate long-read sequencing, or HiFi sequencing, there is no longer a compromise between read length and accuracy. HiFi sequencing enables some of the highest quality de novo genome assemblies available today as well as comprehensive variant detection in human samples. PacBio HiFi libraries constructed using our standard library workflows require at least 3 µg of DNA input per 1 Gb of genome length, or ~10 µg for a human sample. For some samples it is not possible to extract this amount of DNA for sequencing. For samples where between 300 ng and 3 ug of DNA is available, the Low DNA Input Workflow enables users to generate high-quality genome assemblies of small-bodied organisms. For samples where even less DNA is available (as low as 5 ng), the amplification-based Ultra-Low DNA Input Workflow is available.


August 19, 2021  |  Sequencing methods

Informational guide — What’s the value of sequencing full-length RNA transcripts?

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.


August 19, 2021  |  

Infographic — SMRT Sequencing – How it works

PacBio Systems are powered by Single Molecule, Real-Time (SMRT) Sequencing, a technology proven to produce exceptionally long reads with high accuracy. SMRT Sequencing allows you to accelerate your science with the complete range of PacBio applications to produce data you can trust.


August 19, 2021  |  Infectious disease research

Infographic — A brief history of microbiology

Our understanding of microbiology has evolved enormously over the last 150 years. Few institutions have witnessed our collective progress more closely than the National Collection of Type Cultures (NCTC). In fact, the collection itself is a record of the many milestones microbiologists have crossed, building on the discoveries of those who came before. To date, 60% of NCTC’s historic collection now has a closed, finished reference genome, thanks to PacBio Single Molecule, Real- Time (SMRT) Sequencing. We are excited to be their partner in crossing this latest milestone on their quest to improve human and animal health by understanding the microscopic world.


August 19, 2021  |  

Case Study — Pioneering a pan-genome reference collection

At DuPont Pioneer, DNA sequencing is paramount for R&D to reveal the genetic basis for traits of interest in commercial crops such as maize, soybean, sorghum, sunflower, alfalfa, canola, wheat, rice, and others. They cannot afford to wait the years it has historically taken for high-quality reference genomes to be produced. Nor can they rely on a single reference to represent the genetic diversity in its germplasm.


August 19, 2021  |  

Case Study — Mining complex metagenomes for protein discovery with long-read sequencing

The bacteria living on and within us can impact health, disease, and even our behavior, but there is still much to learn about the breadth of their effects. The torrent of new discoveries unleashed by high-throughput sequencing has captured the imagination of scientists and the public alike. Scientists at Second Genome are hoping to apply these insights to improve human health, leveraging their bioinformatics expertise to mine bacterial communities for potential therapeutics. Recently they teamed up with scientists at PacBio to explore how long-read sequencing might supplement their short-read-based pipeline for gene discovery, using an environmental sample as a test case. They were especially interested in identifying unique, complete, and error-free gene clusters in metagenomic assemblies.


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