purePlex™ UDI sets:
Buy 3, the 4th is free
Featuring speed, performance, and auto-normalization
with 384 Unique Dual Indexes available (4 sets of 96).
Meet purePlex™ DNA Library Prep Kit
Maximize Your Sequencing Efforts
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2.5-hour workflow for 96 samples, 45 min. hands-on time
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Auto-normalization of read counts and insert size over 10-fold input range
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384 UDIs available
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Significant cost and plastics savings over other transposase-based systems
Fast, Easy Workflow
No Requirement for Full Plate Processing
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purePlex saves 50% total time over Nextera XT
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Requires 75% less hands-on time
*All times based on processing of 96 samples
Accelerate High-Throughput Processing With Automation
SCIENTIFIC POSTER
Here we demonstrate purePlex’s ability to generate highly multiplexed pools of lcWGS libraries from Cannabis sativa samples using an automation workflow on a Sciclone G3 NGSx Workstation liquid handler for sequencing on an Illumina NovaSeq instrument.
A distinct advantage of purePlex DNA library preparation workflow is that it eliminates the need for individual sample and library normalization.
Saving $$$ and The Planet Through Less Plastic
The simplified purePlex workflow not only saves time, but also reduces consumables by more than 50% per sample. That’s a savings of more than $7 per plate compared to Nextera XT.
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Enable Flexible, Scalable, and Efficient Low-Pass Sequencing
APPLICATION NOTE
Here we demonstrate how the purePlex DNA Library Prep Kit, paired with the AVITI System, improves the performance of mid-throughput, low-pass WGS at a competitive price point. This combination enables flexible, scalable, and efficient low-pass sequencing and genotyping, including kinship analysis.
Complete the form below to discuss whether purePlex is a good fit for your research, or to receive a quote and qualify for this limited-time promo.
BLOG
Improve Success Rates in Low-Pass NGS Applications
Low-pass WGS has transformed genomic analysis by providing cost-effective insights into various biological processes. However, this application can be associated with a high error rate that may offset its advantages over genotyping arrays.
In this blog, we outline common challenges encountered during low-pass WGS, including index hopping and lack of library complexity, and describe how innovations like purePlex help you increase success rates and maintain consistency in your workflow.