Researchers at Swift Biosciences said its Accel-NGS 2S Indexed Adapters are a set of 96 single indices optimized to work in combination with Illumina TruSeq® P5 adapters to provide up to 768 unique dual-index combinations. These new indices are optimized to provide greater flexibility to process between 96-768 uniquely tagged samples per run and can accommodate a wider range of projects with varying sequencing depth. Additionally, the unique design eliminates misassignment and index hopping, an issue specific to Illumina’s pattern flow cells. These improvements provide greater sensitivity to detect low frequency variants as well as greater fidelity to accelerate de-multiplexing during data analysis.
“Our goal at Swift is to enable scientists to generate the highest quality data from any sample type, letting them push the boundaries of their science,” stated Timothy Harkins, president and CEO of Swift Biosciences. “Our new Accel-NGS 2S Indexed Adapters close the throughput and cost gap on Illumina platforms, and when combined with Accel-NGS 2S technologies, all types of sequencing laboratories are generating higher quality data in a much more cost-effective manner.”
First Commercial Order
The new Accel-NGS 2S Indexed Adapters are commercially available now. The first commercial order shipped to Shanghai Nanodigmbio Biotechnology Co. LTD, a distribution channel partner for Swift’s product portfolio in China. Shanghai Nanodigmbio Biotechnology is one of the fastest growing sequencing markets and a critical player in genomics and disease research. In 2016, China unveiled its “Five-Year Plan” with a strategic focus on precision medicine, a rapidly growing focal area of genomics that will guide future diagnostic and therapeutic development.
“Swift’s new indexed adapters provide a major advantage to researchers conducting target enrichment sequencing,” said Chance Wu, CEO of Shanghai Nanodigmbio Biotechnology Company. “Now it will be possible for researchers to maximize the number of exomes per run to rapidly survey larger sample sets in a more cost-effective manner.”