{"product_id":"novaseq-x-plus-sequencing-system-20084804","title":"NovaSeq X Plus Sequencing System","description":"\u003cp\u003eBuilt on decades of innovation from a trusted partner in genomics, the NovaSeq X Series will enable your most ambitious ultra-high-throughput projects. These are our most powerful sequencers yet. Scale your studies with three flow cell types and 16–21 Tb output per run on the dual flow cell NovaSeq X Plus System or 8–10.5 Tb on the single flow cell NovaSeq X System.* Ultra-high-density flow cells and ultra-high-resolution optics enable output of 26–35 billion single reads per flow cell.\u003c\/p\u003e\n\u003cp\u003eExtraordinary throughput and accuracy to perform data-intensive applications at production scale\u003c\/p\u003e\n\u003cp\u003eThe NovaSeq X Series is powered by XLEAP-SBS chemistry — an even faster, higher quality, and more robust version of our proven sequencing by synthesis (SBS) chemistry\u003c\/p\u003e\n\u003cp\u003eXLEAP-SBS chemistry delivers the highest level of data accuracy and performance, and the increased stability enables remarkable sustainability benefits.\u003c\/p\u003e\n\u003cp\u003eFlexibility to run DRAGEN analysis your way, either onboard, in the cloud, or on-server\u003c\/p\u003e\n\u003cp\u003eAccess a broader menu of applications through cloud workflows on Illumina Connected Analytics or BaseSpace Sequence Hub.\u003c\/p\u003e\n\u003cp\u003eThe innovations built into the NovaSeq X and NovaSeq X Plus Systems have the power to generate tens of thousands of whole genomes per year.\u003c\/p\u003e\n\u003cp\u003eDream big. NovaSeq X Series can make it happen.\u003c\/p\u003e\n\u003cp\u003eTransformative economics for transformative breakthroughs\u003c\/p\u003e\n\u003cp\u003eThe NovaSeq X Series allows you to maximize your productivity and minimize your turnaround time. Beyond the significant reduction in cost per Gb and per read, the NovaSeq X series incorporates cost-efficiency throughout the workflow. Streamlined informatics, operational simplicity, sustainability advancements, and world-class support lead to the best total cost of ownership equation.\u003c\/p\u003e\n\u003cp\u003ePropel your research forward to impact the world, not the environment. The NovaSeq X and NovaSeq X Plus Systems were purpose-designed to be our most sustainable sequencing systems yet.\u003c\/p\u003e\n\u003cp\u003eA new standard in operational simplicity\u003c\/p\u003e\n\u003cp\u003eMore results, fewer steps, less effort. The NovaSeq X Series workflow includes flexible run setup, automated ultra-high-throughput sequencing with onboard cluster generation, accelerated data analysis with DRAGEN platform onboard, and more.\u003c\/p\u003e\n\u003cp\u003eUnimaginable experiments, made unbelievably cost-efficient\u003c\/p\u003e\n\u003cp\u003eThe NovaSeq X Series helps moonshot projects become a reality—making affordable what was previously out of reach. Increase statistical power with broader study designs and larger sample cohorts. Maximize read numbers and increase sequencing depth for a higher resolution view that can detect low-frequency signals and variants.\u003c\/p\u003e\n\u003cp\u003eThe NovaSeq X Plus System revolutionizes human whole-genome sequencing, with the ability to sequence more than 128 genomes per run. These production-scale sequencing systems can also perform a broad range of data-intensive applications, from single-cell analysis to exome and circulating tumor DNA sequencing, that will unlock the next wave of omics discovery.\u003c\/p\u003e\n\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003ePush-button operation with automated onboard cluster generation and post-run wash\u003c\/li\u003e\n\u003cli\u003eIndividually addressable flow cell lanes with automated onboard independent lane loading\u003c\/li\u003e\n\u003cli\u003eFlexible run planning options, touchless secondary analysis workflows, and automated lossless data compression\u003c\/li\u003e\n\u003cli\u003eThoughtful ergonomic design innovations for the ultimate user experience\u003c\/li\u003e\n\u003cli\u003eSave time and money with a 90% reduction in packaging weight and waste\u003c\/li\u003e\n\u003cli\u003eMaximize storage space with compact cartridges and packaging\u003c\/li\u003e\n\u003cli\u003eSave disposal costs with no dry ice or ice packs\u003c\/li\u003e\n\u003cli\u003eManage workflow: Track samples and manage your runs with manual or automated LIMS options.\u003c\/li\u003e\n\u003cli\u003ePrepare libraries: Access a broad range of high-performance library preparation kits.\u003c\/li\u003e\n\u003cli\u003eSequence: Use XLEAP-SBS chemistry—advanced reagents built upon proven Illumina SBS—to power faster, more accurate sequencing.\u003c\/li\u003e\n\u003cli\u003eAnalyze data: Leverage DRAGEN platform onboard or in the cloud for accurate, rapid, secondary data analysis.\u003c\/li\u003e\n\u003cli\u003eInterpret results: Interpret results, get insights, and drive discovery with cloud connection to tertiary analysis tools.\u003c\/li\u003e\n\u003cli\u003ePowered by XLEAP-SBS chemistry: The NovaSeq X Series is powered by XLEAP-SBS chemistry, our fastest, highest quality, and most robust sequencing by synthesis (SBS) chemistry to date. Built upon the proven foundation of standard Illumina SBS chemistry, XLEAP-SBS chemistry delivers improved reagent stability with two-fold faster incorporation times.\u003c\/li\u003e\n\u003cli\u003eUltra-high density patterned flow cells: The NovaSeq X Series incorporates patterned flow cell technology to generate an ultra-high level of throughput for a broad range of sequencing applications. NovaSeq X patterned flow cells contain tens of billions of nanowells at fixed locations, a design that provides even spacing of sequencing clusters. This delivers significant increases in sequencing reads and total output of the system.\u003c\/li\u003e\n\u003cli\u003eStreamlined, comprehensive informatics: The NovaSeq X and NovaSeq X Plus Systems are integrated with the DRAGEN secondary analysis platform for ultra-rapid, accurate genomic data analysis. Run multiple secondary analysis pipelines in parallel, with data seamlessly analyzed anywhere within the DRAGEN ecosystem. Run up to four simultaneous applications per flow cell in a single run.\u003c\/li\u003e\n\u003cli\u003eGenomic data compression: Integrated DRAGEN ORA (original read archive) can perform lossless compression to reduce FASTQ file sizes by up to five-fold. This optimized genomics data compression enables faster data transfers and easier data management. The smaller data footprint also reduces storage and energy consumption costs.\u003c\/li\u003e\n\u003cli\u003eMore discoveries, more sustainably than ever: The NovaSeq X Series was purpose-built for improved sustainability. Innovations include lyophilized reagents that arrive at room temperature and a ~90% reduction in packaging waste for reagents. Plastic mass is reduced by over 50% and the buffer cartridge is made with a plant-based biopolymer.\u003c\/li\u003e\n\u003cli\u003eUltra-high-resolution optics: The NovaSeq X Series achieves ultra-high-resolution imaging through higher numerical aperture, a custom CMOS sensor, and two-channel SBS with blue-green optics. The smaller wavelengths allow for tighter spacing between nanowells for 26–35 billion single reads on NovaSeq X Series 25B flow cells.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eHuman genomes\u003c\/li\u003e\n\u003cli\u003eExomes\u003c\/li\u003e\n\u003cli\u003eTranscriptomes\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eNovaSeq X Series specifications\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOutput range\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~165 Gb–21 Tb\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eReads per run\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~1.6–52 billion\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMax read length\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2 × 300 bp\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRun time\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~14–48 hr\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eNovaSeq X Plus\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMaximum output per run\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~16–21 Tb\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eNovaSeq X\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMaximum output per run\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~8–10.5 Tb\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eNovaSeq 6000\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMaximum output per run\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e6 Tb\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eNovaSeq X Plus\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMaximum reads per run\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e52–70 billion single reads; 104–140 billion paired-end reads\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eNovaSeq X\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMaximum reads per run\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e26–35 billion single reads; 52–70 billion paired-end reads\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eNovaSeq 6000\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMaximum reads per run\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e20 billion single reads; 40 billion paired-end reads\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eOutput per flow cell for various read lengths — 1.5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e2 × 50 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~165–238 Gb\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eOutput per flow cell for various read lengths — 5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e2 × 50 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~500–650 Gb\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eOutput per flow cell for various read lengths — 10B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e2 × 50 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~1–1.3 Tb\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eOutput per flow cell for various read lengths — 25B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e2 × 50 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~2.6–3.5 Tb\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eOutput per flow cell for various read lengths — 1.5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e2 × 100 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~330–476 Gb\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eOutput per flow cell for various read lengths — 5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e2 × 100 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~1–1.3 Tb\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eOutput per flow cell for various read lengths — 10B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e2 × 100 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~2–2.7 Tb\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eOutput per flow cell for various read lengths — 25B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e2 × 100 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~5.3–7 Tb\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eOutput per flow cell for various read lengths — 1.5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e2 × 150 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~500–716 Gb\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eOutput per flow cell for various read lengths — 5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e2 × 150 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~1.5–2 Tb\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eOutput per flow cell for various read lengths — 10B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e2 × 150 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~3–4 Tb\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eOutput per flow cell for various read lengths — 25B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e2 × 150 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~8–10.5 Tb\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eOutput per flow cell for various read lengths — 1.5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e2 × 300 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~1–1.4 Tb\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eOutput per flow cell for various read lengths — 5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e2 × 300 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e-\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eOutput per flow cell for various read lengths — 10B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e2 × 300 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e-\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eOutput per flow cell for various read lengths — 25B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e2 × 300 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e-\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eReads passing filter per flow cell — 1.5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSingle-end reads\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~1.6–2.4 billion\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eReads passing filter per flow cell — 5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSingle-end reads\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~5–6.5 billion\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eReads passing filter per flow cell — 10B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSingle-end reads\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~10–13 billion\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eReads passing filter per flow cell — 25B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSingle-end reads\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e26–35 billion\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eReads passing filter per flow cell — 1.5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePaired-end reads\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~3.2–4.8 billion\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eReads passing filter per flow cell — 5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePaired-end reads\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~10–13 billion\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eReads passing filter per flow cell — 10B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePaired-end reads\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~20–26 billion\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eReads passing filter per flow cell — 25B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePaired-end reads\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~52–70 billion\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eQuality scores and run time — 1.5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eQuality Scores – 2 × 50 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e≥ 90% of bases higher than Q30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eQuality scores and run time — 5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eQuality Scores – 2 × 50 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e≥ 90% of bases higher than Q30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eQuality scores and run time — 10B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eQuality Scores – 2 × 50 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e≥ 90% of bases higher than Q30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eQuality scores and run time — 25B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eQuality Scores – 2 × 50 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e≥ 90% of bases higher than Q30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eQuality scores and run time — 1.5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eQuality Scores – 2 × 100 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e≥ 85% of bases higher than Q30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eQuality scores and run time — 5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eQuality Scores – 2 × 100 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e≥ 85% of bases higher than Q30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eQuality scores and run time — 10B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eQuality Scores – 2 × 100 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e≥ 85% of bases higher than Q30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eQuality scores and run time — 25B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eQuality Scores – 2 × 100 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e≥ 85% of bases higher than Q30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eQuality scores and run time — 1.5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eQuality Scores – 2 × 150 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e≥ 85% of bases higher than Q30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eQuality scores and run time — 5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eQuality Scores – 2 × 150 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e≥ 85% of bases higher than Q30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eQuality scores and run time — 10B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eQuality Scores – 2 × 150 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e≥ 85% of bases higher than Q30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eQuality scores and run time — 25B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eQuality Scores – 2 × 150 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e≥ 85% of bases higher than Q30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eQuality scores and run time — 1.5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eQuality Scores – 2 × 300 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e≥ 75% of bases higher than Q30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eQuality scores and run time — 5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eQuality Scores – 2 × 300 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e-\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eQuality scores and run time — 10B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eQuality Scores – 2 × 300 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e-\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eQuality scores and run time — 25B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eQuality Scores – 2 × 300 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e-\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eQuality scores and run time — 1.5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRun Time – 2 × 50 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~17 hr\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eQuality scores and run time — 5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRun Time – 2 × 50 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~14 hr\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eQuality scores and run time — 10B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRun Time – 2 × 50 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~18 hr\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eQuality scores and run time — 25B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRun Time – 2 × 50 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~25 hr\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eQuality scores and run time — 1.5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRun Time – 2 × 100 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~20 hr\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eQuality scores and run time — 5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRun Time – 2 × 100 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~18 hr\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eQuality scores and run time — 10B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRun Time – 2 × 100 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~22 hr\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eQuality scores and run time — 25B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRun Time – 2 × 100 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~38 hr\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eQuality scores and run time — 1.5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRun Time – 2 × 150 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~23 hr\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eQuality scores and run time — 5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRun Time – 2 × 150 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~22 hr\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eQuality scores and run time — 10B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRun Time – 2 × 150 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~25 hr\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eQuality scores and run time — 25B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRun Time – 2 × 150 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~48 hr\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eQuality scores and run time — 1.5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRun Time – 2 × 300 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~44 hr\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eQuality scores and run time — 5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRun Time – 2 × 300 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e-\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eQuality scores and run time — 10B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRun Time – 2 × 300 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e-\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eQuality scores and run time — 25B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRun Time – 2 × 300 bp\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e-\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eEstimated sample throughput for key applications — 1.5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHuman genomes per flow cell\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eEstimated sample throughput for key applications — 5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHuman genomes per flow cell\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~12\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eEstimated sample throughput for key applications — 10B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHuman genomes per flow cell\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~24\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eEstimated sample throughput for key applications — 25B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHuman genomes per flow cell\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~64\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eEstimated sample throughput for key applications — 1.5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eExomes per flow cell\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~27\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eEstimated sample throughput for key applications — 5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eExomes per flow cell\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~84\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eEstimated sample throughput for key applications — 10B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eExomes per flow cell\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~167\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eEstimated sample throughput for key applications — 25B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eExomes per flow cell\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~436\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eEstimated sample throughput for key applications — 1.5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eTranscriptomes per flow cell\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eEstimated sample throughput for key applications — 5B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eTranscriptomes per flow cell\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~100\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eEstimated sample throughput for key applications — 10B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eTranscriptomes per flow cell\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~200\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eEstimated sample throughput for key applications — 25B\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eTranscriptomes per flow cell\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~520\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eInstrument specifications\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eLaser wavelengths\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e532 nm, 457 nm, 655 nm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDimension with monitor W × D × H\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e86.4 cm × 93.3 cm × 158.8 cm (34 in × 36.7 in × 62.5 in)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDry weight of instrument (not including UPS; no core consumables)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1171 lb\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDry weight of instrument (including UPS; no core consumables)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1253 lb\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eWet weight of instrument (not including UPS; loaded with core consumables)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1296 lb\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCrated weight of instrument\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1591 lb (722 kg)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAccessories pallet weight\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e525 lb (238 kg)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\u003ch2\u003eDocuments\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.illumina.com\/content\/dam\/illumina\/gcs\/assembled-assets\/marketing-literature\/novaseq-x-series-spec-sheet-m-us-00197\/novaseq-x-series-specification-sheet-m-us-00197.pdf\" target=\"_blank\" rel=\"noopener\"\u003eNovaSeq X Series – In-depth specs sheet (PDF)\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.illumina.com\/content\/dam\/illumina\/gcs\/assembled-assets\/marketing-literature\/novaseq-x-series-brochure-m-us-00202\/novaseq-x-series-brochure-m-us-00202.pdf\" target=\"_blank\" rel=\"noopener\"\u003eNovaSeq X Series – Product brochure\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.illumina.com\/content\/dam\/illumina\/gcs\/assembled-assets\/marketing-literature\/novaseq-x-optimization-tech-note-m-gl-02678\/novaseq-x-optimization-tech-note-m-gl-02678.pdf\" target=\"_blank\" rel=\"noopener\"\u003eHow to maximize performance on the NovaSeq X Series (Technical note)\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eRelated Products\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.illumina.com\/systems\/sequencing-platforms\/novaseq.html\" target=\"_blank\" rel=\"noopener\"\u003eNovaSeq 6000\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.illumina.com\/products\/by-type\/sequencing-kits\/cluster-gen-sequencing-reagents\/novaseq-x-series-reagent-kits.html\" target=\"_blank\" rel=\"noopener\"\u003eNovaSeq X Series Reagent Kits\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.illumina.com\/products\/by-type\/sequencing-kits\/library-prep-kits\/dna-pcr-free-prep.html\" target=\"_blank\" rel=\"noopener\"\u003eIllumina DNA PCR-Free Prep\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.illumina.com\/products\/by-type\/sequencing-kits\/library-prep-kits\/illumina-dna-prep.html\" target=\"_blank\" rel=\"noopener\"\u003eIllumina DNA Prep\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Illumina","offers":[{"title":"Default Title","offer_id":46487020208207,"sku":"20084804","price":0.0,"currency_code":"ILS","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0712\/0748\/5519\/files\/hires-novaseq-x-plus-front_d7add5bf-6acf-4fa9-9783-7669814910cb.jpg?v=1787652000","url":"https:\/\/www.danyel.co.il\/products\/novaseq-x-plus-sequencing-system-20084804","provider":"danyel biotech","version":"1.0","type":"link"}