Driving Discovery Through Superior NGS Data Quality

Driving Discovery Through Data Quality Reliable Library Preparation and NGS Results Powered by Adaptive Focused Acoustics® (AFA®) TechnologyContents Foreword........................................................................................................................................................3 Shear Brilliance: Precision Sample Prep for Trustworthy Genomic Data ............................................4 From Tissue Samples to Therapeutic Insight: Data Integrity at Every Step........................................8 Smarter DNA Fragmentation for Enhanced Genome Sequencing........................................................9 Unlocking Precision in WGS Through Better Library Preparation.......................................................12 Resources....................................................................................................................................................16 2 covaris.comForeword In today’s rapidly advancing world of therapeutic innovation, next-generation sequencing (NGS) sits at the heart of discovery and development. This powerful technology enables high-throughput, comprehensive analysis of genomic material for analyzing genetic variations associated with diseases and other biological processes. High-integrity NGS results – essential for breakthroughs – begin with optimized sample preparation. Any error introduced in upstream workflows can propagate through sequencing, ultimately affecting the quality and interpretability of the results. A common source of upstream errors is inconsistent fragmentation, which can lead to sequence bias and variability. Adaptive Focused Acoustics® (AFA®) offers a solution to minimize these errors, giving researchers and drug developers greater confidence in their data and the insights that follow. By delivering precise, reproducible mechanical fragmentation, AFA eliminates the inconsistencies commonly associated with enzymatic methods. This eBook explores the importance of data integrity for NGS workflows and highlights how integrating AFA technology into a purpose-built workflow streamlines processes, accelerates decision making and delivers the consistency and quality essential for cutting-edge research and therapeutic innovation.Shear Brilliance: Precision Sample Prep for Trustworthy Genomic Data Therapeutic innovation depends on the integrity of the data that informs it. Whether in academia, uncovering novel mechanisms, or in pharma, validating targets and biomarkers, every breakthrough starts with accurate genomic insight. Achieving such quality begins with optimized sample preparation, which enables the generation of robust sequencing libraries that drive discoveries based on the highest-quality data. However, high-throughput sequencing labs report failures in the range of 10%, with errors introduced through various steps of next-generation sequencing (NGS) workflows, such as sample handling, library preparation, PCR enrichment and sequencing.1,2 Errors stemming from upstream processes, such as library preparation, silently degrade data quality in the early stages of the process, influencing subsequent downstream applications. However, not all sequencing libraries are created equal. Various fragmentation techniques can introduce bias and variability, while disjointed workflows can result in sample loss, slow down processes and leave room for error. This article explores how acoustic shearing technology, when embedded within a purpose-built, cohesive workflow ecosystem, can accelerate therapeutic discoveries. It will examine technology to achieve precise nucleic acid fragmentation, the limitations of disjointed approaches, the principles underlying successful workflow integration and real-world applications across diverse fields of biomedical research. Meeting standards for translational results Ensuring high-quality DNA library preparation is crucial for generating the reliable and reproducible results necessary in translational research. Preparing genetic material for sequencing on NGS platforms includes fragmenting the target sequences to a desired length, producing double-stranded DNA from target fragments, attaching oligonucleotide adapters to the ends of target fragments and, finally, quantifying the final library product for sequencing.3 Rigorous standardization and quality control throughout the workflow are crucial to meeting the demands of translational applications to ensure robust and reproducible results. However, even when performed by highly skilled personnel, workflows remain vulnerable to errors introduced through instrument limitations, multi-step workflows or poor integration between workflow components. Precision fragmentation with mechanical shearing Fragmentation of nucleic acids is the first, and one of the most critical, steps in NGS library preparation. As the name suggests, the act of fragmentation breaks long DNA into shorter segments and can be achieved via two primary methods: enzymatic digestion and mechanical shearing. The chosen technique can influence the resulting level of fragment bias, reproducibility and uniformity, impacting overall data quality. Enzymatic fragmentation uses methods such as endonuclease digestion and tagmentation. Studies demonstrate that tagmentation by transposases like Tn5 may preferentially target lower-GC regions for cleaving, while specific endonucleases can also display nucleotide-sequence preferences.4,5 Both biases lead to non-uniform representation across the genome.6 Enzyme batch variability further compounds reproducibility challenges, with fragment size distributions varying between lots and requiring optimization for each sample type.5 On the other hand, mechanical shearing encompasses several physical methods including sonication, nebulization and acoustic shearing. Adaptive Focused Acoustics (AFA®) technology delivers controlled INTRODUCTION 4 covaris.comfragmentation through focused acoustic energy. Focused ultrasonication disperses mechanical stress almost uniformly along the DNA backbone, yielding tight fragment distributions and equal coverage across the genome.7,8 This approach fragments nucleic acids through isothermal physical force rather than sequenceand context-dependent enzymatic processes, helping to minimize fragmentation bias at the source.7 Because fragmentation is governed by precisely controlled acoustic energy rather than sequencedependent interactions, it produces consistent fragment size distributions across varying GC content – supporting the generation of libraries with greater coverage uniformity. AFA eliminates the need for precise quantification and normalization of the genetic sample prior to fragmentation, simplifying workflow execution and reducing opportunities for variability. For applications requiring precise quantification, the reproducible nature of mechanical fragmentation is particularly valuable, particularly with FFPE and low-input samples. Fewer failed libraries, lower risk of bias and more rapid workflows inspire confidence in the first stage of library prep, which cascades down the entire therapeutic innovation pipeline, empowering researchers to move from patient samples to therapeutic insight with uncompromising data quality. An integrated workflow for seamless transitions Though mechanical shearing with AFA Technology can optimize fragmentation, a chain is only as strong as its weakest link. In therapeutic innovation, a seamless, cohesive system expedites workflows and can be the difference between leading discoveries and following them. The hidden cost of disjoined workflows Many laboratories approach NGS library prep as a series of independent steps, selecting kits, reagents and solutions regardless of their ability to seamlessly interact with each other. While this can be a valid approach due to preference or availability, it can introduce unnecessary errors and inefficiencies that accumulate throughout the workflow. Sample transfer is a primary source of loss and contamination, which is especially crucial when working with limited sample sizes. Transferring samples into tubes, plates or instruments with incompatible vessels risks sample loss, which can mean the difference between successful library generation and library failure. For challenging sample types such as formalin-fixed paraffin-embedded (FFPE) tissues, which yield fragmented and chemically modified nucleic acids, workflow inefficiencies become even more problematic. FFPE samples often exhibit low library complexity, high duplication rates and sequencing artifacts that can confound the identification of single-nucleotide variants. Using incompatible reagents can also risk mismatched chemistries, leading to inconsistent reactions. The cumulative impact of disjointed workflows manifests as increased sample QC failures, variable library conversion rates and the need for repeat runs that consume precious samples and delay timelines. For translational research where sample material is often irreplaceable, these inefficiencies translate directly into lost opportunities for discovery. The advantages of integration By ensuring that each solution, kit and shearing technology component is purpose built and designed to work harmoniously with the next, a structured, integrated ecosystem is formed. This approach reduces sample transfers, loss, reagent waste and hands-on time while lowering total cost by minimizing repeat runs. With lower variability and fewer failed libraries, higher-quality data allows for faster decisions in therapeutic innovation, which allows for both confidence and the capability to produce translational results. For instance, integrating library preparation reagents configured for use with mechanical shearing using AFA technology can streamline the workflow by reducing the number of processing steps and vessel transfers. Incorporating fragmentation into a singlevessel workflow helps reduce complexity and turnaround time in preparing NGS-ready libraries. 5 covaris.comCompared to multi-step workflows, which require separate quantitation, transfer and qPCR stages that can take 5 to 6 hours, streamlined approaches reduce workflow burdens by approximately 40% while maintaining or improving data quality (Figure 1). This time saving comes from minimizing sample handling steps and integrating compatible reagent chemistries that eliminate unnecessary intermediate purifications. Not only do time savings allow for more time in other areas of discovery, but such cohesion helps reduce opportunities for variability, supporting more consistent and reproducible results. Trust your data, drive discovery Reliable library preparation is essential to widespread areas of research, including oncology, pathology, molecular genomics, spatial multiomics and NGS assay development. Fragmentation strategy plays a critical role in shaping downstream sequencing performance, influencing coverage uniformity and variant detection accuracy. Recent studies have demonstrated that mechanical fragmentation can produce more uniform coverage across GC content compared to enzymatic approaches, reducing coverage bias and improving the sensitivity of variant detection.6 Controlled fragmentation approaches are widely applied across diverse workflows, including spatially resolved tissue studies, where consistent sample preparation is essential for accurate downstream interpretation.9 In these contexts, minimizing variability introduced during sample processing supports more reliable comparisons across samples and experimental conditions. Conclusion Trustworthy genomic data underpins every downstream application, from biomarker identification to validation. With the pressure to deliver translational results ever increasing, a purpose-built, integrated workflow becomes essential – one that works harmoniously to eliminate gaps in the therapeutic pipeline. This foundation provides confidence not only in sample preparation but also ensures that every downstream stakeholder can rely on the highestquality inputs for their work. When quality goes in, quality comes out. With the right workflow in place, the path from data generation to discovery unfolds with confidence, as each step builds reliably on the last. Click here to discover Covaris integrated workflows using AFA® technology. Figure 1. Demonstrated time savings through integration of AFA fragmentation and optimized library prep workflows. LIBRARY PREP WORKFLOWS FROM OTHER SUPPLIERS 4h 30 min 5h 50 min 2h 30 min STREAMLINED WORKFLOW WITH truCOVER LIBRARY PREP Input gDNA Shearing Quantitation Transfer Library Prep Clean-Up Quantitation qPCR Enzymatic Library Prep Incubation Clean-Up Quantitation qPCR Input gDNA Fragmentation AFA Library Prep Clean-Up qPCR Input gDNA Shearing 6 covaris.comReferences 1. Yang GS, Stott JM, Smailus D, et al. Highthroughput sequencing: a failure mode analysis. BMC Genomics. 2005;6:2. doi: 10.1186/1471-2164-6-2 2. Ma X, Shao Y, Tian L, et al. Analysis of error profiles in deep next-generation sequencing data. Genome Biol. 2019;20:50. doi: 10.1186/ s13059-019-1659-6 3. Head SR, Komori HK, LaMere SA, et al. Library construction for next-generation sequencing: overviews and challenges. BioTechniques. 2014;56(2):61–77. doi: 10.2144/000114133 4. Adey A, Morrison HG, Asan, et al. Rapid, low-input, low-bias construction of shotgun fragment libraries by high-density in vitro transposition. Genome Biol. 2010;11:R119. doi: 10.1186/gb-2010-11-12-r119 5. Ribarska T, Bjørnstad PM, Sundaram AYM, Gilfillan GD. Optimization of enzymatic fragmentation is crucial to maximize genome coverage: a comparison of library preparation methods for Illumina sequencing. BMC Genomics. 2022;23:92. doi: 10.1186/s12864- 022-08262-0 6. Process V, Ambavaram MMR, Vasantgadkar S, et al. Optimization of DNA fragmentation techniques to maximize coverage uniformity of clinically relevant genes using whole genome sequencing. Diagnostics. 2025;15(18):2294. doi: 10.3390/ diagnostics15182294 7. Process V, Donaldson J, Khoja H, Durin G, Laugharn J. Covaris truSHEAR mechanical DNA shearing for NGS applications. Covaris, Inc. http://www.covaris.com/wp-content/ uploads/M020033_truSHEARTechNote_RevA. pdf. Accessed October 28, 2025. 8. DNA shearing for next generation sequencing (NGS) with the M220 focused-ultrasonicator. Covaris, Inc. http://www.covaris.com/wpcontent/uploads/M020013.pdf. Accessed October 28, 2025. 9. Herrera JA, Mallikarjun V, Rosini S, et al. Laser capture microdissection coupled mass spectrometry (LCM-MS) for spatially resolved analysis of formalin-fixed and stained human lung tissues. Clin Proteomics. 2020;17:24. doi: 10.1186/s12014-020-09287-6 7 covaris.com3. Shearing Controlled and optimized fragmentation reduces biased shearing and produces uniform coverage.3 From Tissue Samples to Therapeutic Insight: Data Integrity at Every Step Therapeutic innovation depends on the integrity of the data that drives it. Obtaining accurate genomic insights is essential to transform samples into new therapies. At every stage – from tissue collection and nucleic acid extraction to sequencing and analysis – maintaining data integrity ensures that the results faithfully reflect the underlying biology. This infographic highlights how robust next-generation sequencing (NGS) workflows – grounded in precise and consistent library preparation – deliver reliable, high-quality data that empower confident discoveries and meaningful advances in patient care. The journey from sample to therapeutics The journey from patient tissue to meaningful therapeutic insight follows a complex workflow. It begins with careful tissue sample preparation and nucleic acid extraction, shearing of DNA and preparation of the library for sequencing.1 Each of these steps builds the foundation for reliable sequencing and downstream analysis that powers the development of new therapies. Why fragmentation matters Cutting-edge Adaptive Focused Acoustics (AFA) technology uses controlled bursts of focused high-frequency ultrasound to mechanically process samples efficiently and reproducibly in a non-contact, temperaturecontrolled environment. It works by creating and collapsing tiny, controlled bubbles (cavitation) that generate localized shear forces to precisely fragment the sample. The mechanical nature of AFA offers consistent, tunable control of insert sizes, whereas the biochemical nature of enzymatic shearing requires customer optimization of every workflow. 1. Tissue Samples Biological starting point. 7. Therapeutic Discovery Actionable insights driving drug development. 2. Extraction Effective isolation and extraction of DNA ensures high yield, purity and integrity.2 6. Data Analysis The large dataset is analyzed using bioinformatic tools. 5. Sequencing Data containing the order of the four bases (A, T, C and G) in a given nucleic acid molecule is generated. 4. Library Prep Library preparation repairs, adapts and amplifies the DNA to generate sufficient material for sequencing. Click here to learn more about efficient and effective library prep. References: 1. Hess JF, Kohl TA, Kotrová M, et al. Library preparation for next generation sequencing: A review of automation strategies. Biotechnol Adv. 2020; 41:107537. doi: 10.1016/j. biotechadv.2020.107537 2. Gupta N. DNA extraction and polymerase chain reaction. J Cytol. 2019; 36(2):116–117. doi: 10.4103/JOC.JOC_110_18 3. Process V, Ambavaram MMR, Vasantgadkar S, et al. Optimization of DNA fragmentation techniques to maximize coverage uniformity of clinically relevant genes using whole genome sequencing. Diagnostics. 2025;15(18):2294. doi: 10.3390/diagnostics15182294 AFA Shearing Enzymatic Shearing Fragmentation Method Bias Acoustic energy — tunable and controlled Biochemical activity — sequence dependent Bias-free, uniform, sequenceindependent GC bias, uneven coverage Highly consistent Enzyme batch variability Preserved (low input, FFPE-compatible) Risk of over-digestion or loss Reliable, high-fidelity data Variable, often requires reruns Seamless Multiple transfers/ vendors Reproducibility Sample Integrity Outcome Integration With FFPE Extraction and Library Preparation Steps Integrating these three solutions allows you to: • Streamline workflows • Reduce QC failures • Mitigate inter-operator variability • Maximize library quality truXTRAC® FFPE Extraction (optional) AFA® Shearing truCOVER® Library Prep Improved input quality  Minimal sample loss Bias-free fragmentation  Uniform coverage Integrated design  Reproducible results The advantages of integrated workflows Extraction, shearing and library preparation are critical stages for preserving nucleic acid quality prior to sequencing. Using purpose-built, cohesive tools during these steps enables reliability and brings control, consistency and integration to the earliest stages of the NGS workflow. This is especially valuable for challenging, low-input sample types such as FFPE tissues, which contain fragmented and chemically modified nucleic acids.Smarter DNA Fragmentation for Enhanced Genome Sequencing Whole genome sequencing (WGS) enables comprehensive insight into genetic variation within both coding and noncoding regions.1 It is widely applied across research areas such as oncology, hereditary disease diagnostics and pharmacogenomics. However, the value of this insight depends on the accuracy and completeness of the underlying data. Reliable WGS depends on key performance metrics such as coverage uniformity, i.e., the consistency of read depth across regions of interest.2 High and uniform coverage minimizes false negatives, even in GC-rich or repetitive sequences, which is crucial for accurate variant detection and reliable downstream analyses.3 The method used to fragment DNA during library preparation is key to determining coverage uniformity. Enzyme-based fragmentation methods often introduce sequence-dependent biases, such as preferential cleavage of low-GC regions, producing non-uniform genome coverage and ultimately reducing variation detection accuracy.4 Choosing the right DNA fragmentation method is therefore essential to ensure high-quality data in downstream analysis. In a 2025 study, researchers compared sequencing coverage and variant detection after using enzymatic fragmentation versus mechanical fragmentation across various sample types (a reference human cell line, blood, saliva and FFPE lung tissue).5 The study compared four PCR-free WGS library preparation kits. One kit utilized Adaptive Focused Acoustics (AFA) fragmentation – a type of mechanical fragmentation by Covaris – while the others used non-mechanical fragmentation (tagmentation by Supplier I and enzymatic-based methods by Supplier N and Supplier W). The libraries were then sequenced using the Illumina NovaSeq 6000 and each sample was aligned to the human reference genome. This provided a standardized framework to evaluate coverage and sequencing bias across library preparation methods. AFA fragmentation for unbiased results The results showed that AFA fragmentation produced a base composition closely matching the human genome, indicating minimal bias. On the other hand, enzymatic-based and tagmentation-based methods exhibited pronounced base composition biases across all four bases. RESEARCH SUMMARY 9 covaris.comOwing to its high consistency, the authors selected a single library preparation with mechanical fragmentation to act as a singular benchmark for their main uniformity of coverage analysis. The study’s success stems from this controlled experimental design, which enabled the authors to isolate a fragmentation method and investigate whether base bias leads to uneven sequencing coverage across chromosomes and critical genomic regions within genes. Since the authors observed differences in fragmentation in the sequencing reads, they then explored how these differences relate to coverage performance across varying GC-content regions within the human genome. They discovered that AFA fragmentation achieved the most uniform coverage across all sample types, while non-mechanical methods exhibited greater bias in lowand high-GC regions. Next, they analyzed the impact of GC content on coverage at the chromosomal level. They found that AFA fragmentation produced the most consistent coverage, indicating a reduced GC bias compared to non-mechanical methods. Similar results were found for coverage uniformity at the gene level using 504 clinically relevant genes (TSO500 gene set). Thus, the Covaris library preparation workflow was proven to ensure more consistent coverage across sample types at both the chromosome and gene levels. Better variant performance As well as coverage analysis, the study evaluated variant detection accuracy and the impact of reduced sequencing coverage, focusing on single nucleotide polymorphisms (SNPs). The results showed that at the lowest coverage, the truCOVER workflow achieved the lowest false negative call rate. Supplier I’s workflow displayed significantly more false positives and negatives. At higher coverage, variant calling performance improved across kits, with both mechanical and enzymatic methods exhibiting low error rates. However, Supplier I’s workflow continued to show high false negative and positive rates. The researchers then assessed variant calling performance across different GC-content regions of the human genome. They measured performance for both SNPs and indels at two reduced sequencing coverages. At both sequencing coverages, the Covaris workflow consistently achieved greater accuracy of SNP detection across a broader range of GC content, while Supplier I exhibited pronounced GC-dependent bias, particularly at the lowest coverage. Detection of indels showed greater variability across all workflows. Overall, the Covaris library preparation workflow consistently achieved higher SNP and indel F1 scores at both coverages across a broader range of GC content. In contrast, the other workflows showed mixed results. Implications for WGS This innovative study demonstrated that AFA fragmentation produced more consistent coverage uniformity across chromosomes and genes than non-mechanical methods. This led to more reliable detection of variants, even in challenging samples, making it potentially advantageous for clinical and diagnostic applications where DNA integrity is often compromised. Exploration of the influence of coverage depth and GC content on variant calling accuracy revealed that AFA fragmentation showed comparatively higher accuracy across variable GC contents, even at lower sequencing depths. Thus, mechanical DNA shearing with Covaris library preparation can enhance coverage uniformity with minimal GC bias across sample types. This knowledge can be used to inform sequencing depth estimations, providing practical guidance for optimizing WGS protocols to achieve consistent gene representation and reliable variant detection. Extending this framework to whole-exome and hybrid-capture sequencing could help address inefficiencies and coverage gaps in targeted workflows. Moreover, applying the study’s methodology to large-insert library construction may aid uniform genome coverage. These avenues could contribute to improved variant detection across a wide spectrum of applications. 10 covaris.comReferences 1. Brlek P, Bulić L, Bračić M, et al. Implementing Whole Genome Sequencing (WGS) in clinical practice: advantages, challenges, and future perspectives. Cells. 2024;13(6):504. doi: 10.3390/cells13060504 2. Jennings LJ, Arcila ME, Corless C, et al. Guidelines for validation of next-Generation sequencing-based oncology panels: A joint consensus recommendation of the Association for Molecular Pathology and College of American Pathologists. J Mol Diagn. 2017;19(3):341–365. doi: 10.1016/j. jmoldx.2017.01.011 3. Zhou C, Dobrinsky J, Tsoi S, et al. Characterization of the altered gene expression profile in early porcine embryos generated from parthenogenesis and somatic cell chromatin transfer. PLoS ONE. 2014;9(3):e91728. doi: 10.1371/journal. pone.0091728 4. Adey A, Morrison HG, Asan, et al. Rapid, low-input, low-bias construction of shotgun fragment libraries by high-density in vitro transposition. Genome Biol. 2010;11:R119. doi: 10.1186/gb-2010-11-12-r119 5. Process V, Ambavaram MMR, Vasantgadkar S, et al. Optimization of DNA fragmentation techniques to maximize coverage uniformity of clinically relevant genes using whole genome sequencing. Diagnostics (Basel). 2025;15(18):2294. doi: 10.3390/ diagnostics15182294 11 covaris.comUnlocking Precision in WGS Through Better Library Preparation Whole-genome sequencing (WGS) has revolutionized the field of genomics, enabling scientists to explore the complete genetic makeup of individuals with unprecedented detail. By providing a comprehensive view of the genome, WGS has become a critical tool in research, disease diagnosis and personalized medicine. However, the accuracy of WGS depends not only on the sequencing technology itself but also on library quality. In this interview, Greg Endress, Senior Vice President, Technology & Innovation at Covaris, explains how emerging tools and methods help researchers improve library preparation and achieve more accurate sequencing results. How are scientists currently using WGS in the laboratory and clinic? WGS is currently utilized as an indispensable methodology in both research and real-world environments. Within the laboratory setting, it is fundamental to large-scale population studies, such as the All of Us Research Program, which seeks to elucidate the genetic underpinnings of various diseases. In practice, WGS is not only vital for the diagnosis of hereditary conditions but is also increasingly integral to precision oncology, where it facilitates the creation of detailed tumor-specific genomic profiles. These profiles provide critical insights that inform tailored therapeutic strategies, thereby advancing personalized medicine by translating complex genomic data into actionable outcomes. What is the purpose of library preparation in nextgeneration sequencing (NGS) workflows, and what are the common challenges researchers face during this process? The primary purpose of NGS library preparation is to convert native DNA molecules into a state suitable for high-throughput sequencing. This intricate, multi-step process entails the systematic fragmentation of DNA to a consistent and optimal size, followed by enzymatic repair of the fragment ends and ligation of unique adapter sequences. These adapters are essential for the sequencing instrumentation to properly identify, cluster and sequence each molecule. A meticulously executed library preparation protocol is foundational for ensuring the efficient utilization of the sequencer and for generating high-quality, accurate data. A principal challenge inherent to library preparation is the introduction of methodological variability. Numerous workflows, particularly those reliant upon enzymatic fragmentation, are susceptible to inconsistent DNA fragment sizes, sample-specific biases and batch-to-batch effects. Such variability can lead to non-uniform genome coverage and diminished data quality. As a result, laboratories are often required to implement labor-intensive and costly quality control measures. These procedural necessities extend turnaround times, escalate operational expenditures and have the potential to compromise the integrity of the final dataset. Greg Endress Senior Vice President, Technology & Innovation, Covaris INTERVIEW 12 covaris.comWhy is consistent DNA fragmentation important for sequencing accuracy and data quality, and what methods have scientists traditionally used to fragment DNA samples? Consistent DNA fragmentation is a fundamental prerequisite for generating high-fidelity sequencing data. A uniform distribution of fragment sizes ensures even coverage across the entire genome without sequence bias, thereby preventing data gaps in regions of interest. This uniformity is particularly critical for achieving high-precision variant detection, especially for the identification of small insertions and deletions that are often of significant interest in research. Conversely, inconsistent fragmentation introduces systemic biases that can confound data interpretation and diminish the reliability of the results. Ultimately, consistency in fragmentation enhances the overall efficiency of the sequencing process and improves data integrity. Traditionally, scientists have employed either mechanical shearing or enzymatic digestion to fragment DNA. While widely used, enzymatic fragmentation methods present several significant problems. These approaches are known to introduce sample-specific biases, particularly in regions with high GC or AT content, and can suffer from batch-tobatch variability between enzyme lots. This inconsistency leads to variable fragment sizes and lower library conversion rates, resulting in extensive and costly quality control procedures to ensure data integrity. Such issues compromise the reproducibility of experiments and can skew the final sequencing results. What innovative library preparation kits are helping researchers overcome the common WGS challenges? The Covaris truCOVER® WGS PCR-free Library Prep Kit represents a comprehensive, integrated solution engineered to mitigate the principal challenges associated with library preparation. It uniquely combines the proprietary AFA technology, which provides superior mechanical DNA shearing, with a highly efficient, single-vessel workflow. This synergy yields consistently sized DNA fragments and maximizes the conversion efficiency of DNA into sequence-ready libraries. Consequently, the kit facilitates reliable mass-based library pooling, often obviating the need for qPCR, while reducing turnaround time by as much as 30% and ensuring the generation of high-quality data from diverse sample types. The truCOVER Amplification Kit is an ancillary module designed for NGS library preparation involving lowinput DNA samples, typically ranging from 0.1 to 50 nanograms. Its primary function is to increase the quantity of library DNA to a level sufficient for sequencing, which is critical when working with precious or limited starting material from sources such as formalin-fixed paraffin-embedded tissues. Covaris engineered the kit to perform this amplification with minimal bias, ensuring that the resulting data accurately reflects the original sample’s genomic profile without skewing due to factors such as GC content. This enables researchers to obtain highquality sequencing data from challenging samples. What is AFA, and what are the advantages of using this technology for DNA fragmentation? AFA is a proprietary Covaris technology that enables highly precise and reproducible mechanical DNA shearing. The technology utilizes controlled bursts of high-frequency acoustic energy focused into a discrete zone within the sample vessel (Figure 1). This noncontact process creates controlled cavitation, resulting in hydrodynamic shear forces that fragment biomolecules. Because the fragmentation process is highly controlled, AFA delivers exceptional precision and reproducibility, yielding a tight and uniform fragment size distribution. Unlike enzymatic methods, AFA is an unbiased physical process, preventing fragmentation preferences in GC- or AT-rich genomic regions and eliminating batch-to-batch variability. This process enhances data integrity and ensures more uniform genome coverage. The controlled, non-contact nature of AFA also improves workflow robustness across diverse sample types, solidifying its status as the gold standard for high-quality DNA fragmentation. 13 covaris.comWhat are the benefits of using the truCOVER Library Prep Kits over other library preparation methods? The truCOVER Library Prep Kits provide several distinct advantages over alternative methods. First, by employing AFA technology, they facilitate unbiased and highly reproducible DNA fragmentation, resulting in more uniform genomic coverage and higher confidence in variant calling. Second, the streamlined, single-vessel workflow is designed to minimize sample transfers and manual intervention, which contributes to a reduction in overall turnaround time and avoids sample loss. Finally, the combination of higher library conversion efficiency and exceptional consistency enables accurate mass-based pooling, which frequently eliminates the requirement for expensive qPCR-based quantification and thus lowers the total per-sample cost. How might innovations like these kits affect the future of genomics research and personalized medicine? Innovations such as the truCOVER kits serve as catalysts for the advancement of genomics research and personalized medicine. By alleviating critical bottlenecks related to time, cost and methodological variability, these technologies enhance the accessibility and scalability of high-quality WGS. The resulting standardization is crucial for conducting robust, large-scale population studies and for the reliable detection of clinically significant variants. By providing a more rapid and cost-effective pathway to high-confidence data, this technology empowers researchers and clinicians to more effectively translate genomic information into actionable insights that drive better outcomes. Optimized Consumables Sensors Focused Acoustics Controlled Enviroment Control - Intensity - Cycles - Time Adaptive Energy Input Computer Control Duty Factor Cycles per Burst x x x x Figure 1. Adaptive Focused Acoustics® (AFA®) technology uses precise high-frequency acoustic energy to efficiently and consistently fragment DNA, ensuring uniform shearing for high-quality results. 14 covaris.comFinally, the library prep you deserve. Improved performance, simpler workflow, lower cost per sample— truCOVER® Library Prep. Purpose-built to leverage Covaris gold standard ultrasonication technology, truCOVER® Library Prep transforms WGS sample prep into a streamlined, high-precision process that enhances data quality from the very start. truCOVER Library Prep streamlines your sequencing workflow with: Create robust, reproducible libraries in less time from a variety of sample types, including FFPE, blood, and saliva. With truCOVER Library Prep, every decision, every discovery, and every breakthrough begins with confidence. Discover how truCOVER® Library Prep - Powered by Adaptive Focused Acoustics® (AFA®) - Advances the Accuracy of your NGS Data Learn more at covaris.com/trucover-dna-library-prep-kits Higher Variant Calling Accuracy Uniform,Unbiased Coverage High Coverage & Complexity Efficient & Scalable Workflow Robust Performance for Low Input & All Sample Types Reduced fragmentation bias enables more accurate variant detection Consistent fragment size distribution supports reliable calling Minimizes sequence- and GC-dependent fragmentation bias Enables more even representation across the genome 2X higher library conversation vs. competitor with same input DNA Consistently higher depth of coverage and 30–50% greater complexity Standardized workflow 30% faster turnaround time Pooling by mass or equal volume without qPCR quantification High quality from even 1 ng FFPE DNA or 0.1 ng high-quality DNA All sample types - blood, saliva, FFPE, cell culture & microbial DNAResources In a recent webinar, Lia Abarzua, Sr. Applications Scientist at Covaris, discussed how the truCOVER® WGS library prep kit portfolio can help you to streamline DNA library preparation for next-generation sequencing. Watch the webinar here Formalin-fixed, paraffin-embedded (FFPE) samples are an invaluable resource for clinical research; however, their fixation process is known to severely damage DNA. Covaris integrated workflow provides a robust solution consolidating the most critical steps into a single, highly reproducible system. Download this technical note to learn more Whole-genome sequencing requires a robust method for generating high-quality libraries. The truCOVER Library Prep Kit, enabled by AFA technology, ensures versatile, consistent performance across multiple sample types. Download this application note to learn more 16 covaris.comThe ability to perform WGS from samples with limited DNA input remains a significant challenge in genomic research. The truCOVER workflow solves this problem generating high-quality libraries from low-input DNA samples. Download this technical note to learn more Library pooling for NGS can be expensive and time consuming. The truCOVER WGS PCR-free Library Prep Kit significantly reduces hands-on laboratory time, lowers operational costs, and consistently delivers high-quality sequencing results. Download this technical note to learn more Extend Your NGS Workflow to the Transcriptome Degraded FFPE RNA shouldn’t stand between you and actionable transcriptomic data. Discover how truCOVER Total RNA Library Prep delivers consistent, high-quality WTS results in under 4 hours with 100% gene fusion detection sensitivity from even highly degraded RNA. Download this technical note to learn more 17 covaris.com