Scaling your NGS workflow

Next-generation sequencing has transformed how researchers investigate DNA and RNA. But as projects grow, one question becomes unavoidable: how much sequencing capacity does your laboratory actually need?

The answer depends on sample volume, library type, project frequency, read requirements, turnaround expectations, and how your lab plans to scale over time. At Corebio Scientific, we believe sequencing should scale with the science, not the other way around.

Start with the workflow, not the instrument

Before selecting a sequencing platform, it helps to see the whole pipeline that will feed it. The sequencing instrument is only one stage of a longer process:

Corebio offers both the Corebio DNA Prep – Library Preparation Kit and the CoreBio RNA Prep – Library Preparation Kit, covering library-preparation for different project types. This matters because sequencing capacity should be matched to the number and type of libraries your lab can consistently prepare — not chosen in isolation.

What "sequencing capacity" really means

Sequencing capacity refers broadly to how much output a platform can generate within a run, or over a defined period. More capacity is not automatically better.

A lab processing a modest, steady sample volume can leave resources underutilized with too much capacity. A lab running large projects can hit bottlenecks with too little. The goal is finding balance across:

• Sample volume
• Required sequencing output
• Turnaround time
• Project frequency
• Read requirements
• Future growth
• Cost per project

Matching platform to project stage

For labs building or expanding sequencing capability, a benchtop platform offers an attractive balance of accessibility and throughput. The Corebio X1 High-Throughput Benchtop DNA Sequencer is positioned for labs that want a more compact, in-house solution — bringing sequencing closer to the research workflow, maintaining control over schedules, and scaling gradually as demand increases.

As programs expand toward larger cohort studies, multi-project sequencing, or population-scale research, throughput becomes the more important consideration. The Corebio X7 High-Throughput Next-Generation Sequencing Platform is designed as the higher-throughput option in the portfolio.

Rather than two competing instruments, the X1 and X7 can be thought of as solutions for different stages of the same sequencing demand curve: growing project → increasing sample volume → greater sequencing demand → higher-capacity workflow.

Library prep determines how efficiently you use capacity

Sequencing capacity is only valuable when your lab can consistently prepare suitable libraries to use it. For DNA-focused projects, Corebio DNA Prep can serve as the starting point; for RNA-based projects, CoreBio RNA Prep provides the corresponding option. Considered together, the workflow becomes a connected system rather than a series of disconnected purchases — sample, library preparation, library QC, sequencing, and data generation, each stage shaping what the next stage needs.

Supporting infrastructure still counts

High-throughput sequencing doesn't happen in isolation. Labs also depend on supporting equipment to keep the workflow running day to day.

These products may seem less significant than the sequencing instrument itself, but reliable supporting equipment is essential to keeping the whole workflow moving.

A practical capacity-planning framework

When deciding between platforms, five questions in sequence can guide the decision.

Scaling without overcomplicating the workflow

The goal of scaling isn't simply to process more samples — it's to process more samples efficiently and consistently. A well-planned NGS workflow connects sample preparation, library preparation, quality control, sequencing, and analysis into one coordinated system.

Corebio DNA Prep and CoreBio RNA Prep address library preparation; the Corebio X1 and X7 provide sequencing-platform options at different levels of capacity; supporting laboratory products complete the workflow around them: prepare, optimize, sequence, scale.

Choosing capacity for today — and tomorrow

There's no universal definition of the "right" sequencing capacity. A small research group may prioritize flexibility and manageable throughput. A growing genomics lab may prioritize scalability. A high-volume research program may prioritize throughput and operational efficiency. What matters most, in every case, is matching technology to the workflow already in place.

Scaling an NGS workflow isn't simply about generating more reads — it's about creating the capacity to turn more samples into meaningful scientific insight.