Webinar series: NGS kits by Swift Biosciences

Registration and webinar details

Past Webinars

The tool to bridge 16S multi-V regions to microbial identities

In 2019, Swift Biosciences launched their 16S+ITS Accel-Amplicon panel to enable highly efficient, sensitive, and specific microbial identification through targeting the 16S rRNA (V1-V9) and ITS genes in a single primer pool.  Now Swift has launched 16S SNAP and ITS SNAP, which combine the sensitivity and ease of Swift Accel-Amplicon with Swift Normalase technology. The PCR1+PCR2 workflow generates robust libraries even from low input quantities of DNA that may be subsequently quantified and normalized with conventional methods such as Qubit® or Agilent Bioanalyzer, or optionally using the included Swift Normalase reagents. In addition, Swift is also launching the SNAP APP, an open source solution for studying microbial communities using Swift SNAP 16S panel. These new products from Swift Biosciences provide a sensitive and cost-effective method for determining the microbial identities of a wide variety of sample types. Registration

How to tackle challenging and low-input samples

Systematic comparative analysis of cost-effective RNA-seq library preparation methods for low input samples.

Despite the precipitous decline in the cost of genome sequencing over the last few years, library preparation for RNA-seq is still laborious and expensive for high throughput screening for drug discovery. Limited availability of RNA generated by some experimental workflows poses an additional challenge and typically adds to the cost of RNA library preparation. In the search for low-cost, automation-compatible RNA library prep kits that also maintain strand specificity and are compatible with low input RNA quantities, two recent commercial technologies – Swift and Swift Rapid – were tested using the Illumina TruSeq stranded mRNA, the de facto standard workflow for bulk transcriptomics, as the gold standard reference.

The systematic comparative analysis revealed that the Swift RNA library kit outperforms the Illumina TruSeq stranded mRNA kit at low input quantities, in terms of quality, workflow time, and cost-effectiveness. Registration

Break the sample input barrier down to single cell analysis

Benefits of ssDNA Library Prep for Damaged and Metagenomic Samples using Accel-NGS 1S

Swift’s patented Adaptase technology enables adapter ligation to single stranded DNA that is both template independent and highly efficient. This technology supports applications including bisulfite sequencing, where comprehensive methylome coverage can be achieved from low inputs including liquid biopsy to support oncology research, down to single cell methylation analysis. For metagenomic and virome studies, Adaptase libraries accurately represent the relative abundance of single and double stranded genomes, and also rescue precious samples that are heavily damaged and low in input quantity. Recent publications covering these applications will be presented, as well as an introduction to Swift’s RNA-Seq portfolio that produces libraries from 1st strand cDNA using Adaptase workflows. Registration

Revolutionary Library Normalization Technology for NGS Applications.

Normalase is a novel NGS library normalization technology that produces libraries with specified molar concentration and streamlines library balancing and pooling for ease of loading on Illumina® sequencing platforms. The Normalase workflow eliminates the need for library quantification and concentration adjustment and enables direct equal volume library pooling. Normalase allows for more than 10-fold variation in input quantity, while generating less than 10% variation in sample clustering within a pool. This fast, robust and automatable workflow can easily be integrated into standard DNA and RNA library preparation protocols to improve turnaround time, increase efficiency and reduce sequencing cost. Normalase can be also used for library normalization and pooling in the novel Swift Normalase® Amplicon Panels (SNAP) and hybridization-capture protocols.

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