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Whitepaper

Improving NGS Library Quality with Accessible Automation

Labs can drastically improve library quality and reproducibility, resolving challenges and sources of error at key steps with entry-level, easy-to-use automation platforms

The quality of next-generation sequencing (NGS) libraries is critical to obtaining accurate data from sequencing runs. The sensitivity and depth of NGS means that minute errors during library generation have cascading effects that are not always readily identified during analysis. Minimizing the amount of repeat sequencing due to errors or poor quality data is particularly important in the NGS space due to the cost, time, and sample material invested in library preparation and sequencing runs. 

Automation is increasingly applied to NGS library preparation to improve precision, accuracy, and consistency, leading to higher quality data and improved repeatability. In addition to minimizing potential human error and the variability in timed steps that is inherent to manually pipetting across a plate, automating liquid handling mitigates the risk of repetitive strain injuries to staff and increases productivity. 

The expense and expertise required to purchase and operate large automation platforms can present a barrier for many small- to mid-sized labs. Entry-level liquid handlers provide an accessible option for labs transitioning from manual preparation while offering ease of use and increased consistency. Platforms that come with optimized and validated NGS protocols save further time and effort during implementation while ensuring confidence in results.

This whitepaper explores sources of error and variation along with other challenges at key stages of preparation for different types of libraries. It defines requirements and presents an ideal solution for labs aiming to enhance pipetting precision, minimize error, and improve overall library quality without the need for extensive programming expertise.

Download this whitepaper to learn how to improve:

  • Reaction efficiencies, yield, and fragment length distribution
  • Precision and reproducibility of libraries with strategies to achieve consistency 
  • Reliability of sequencing data by minimizing common but impactful errors
  • Efficiency of sequencing workflows with user-friendly liquid handling platforms designed for flexibility and adaptability in diverse laboratory settings.

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