NGS can generate enormous amounts of sequencing data, but as sample numbers increase, one part of the workflow often becomes a bottleneck: library preparation.
A workflow that works well for 8 or 24 samples may become much harder to manage at 96 samples or beyond. More pipetting means more hands-on time, more opportunities for variation, and greater pressure on laboratory staff.
This is where automation can make a difference.
But successful NGS automation is about more than putting a liquid handler on the bench. The real goal is to build a library preparation workflow that is scalable, consistent, and practical to run routinely.
Why Library Preparation Matters
Library preparation converts DNA or RNA samples into sequencing-ready libraries through steps such as:
- Fragmentation
- End repair and A-tailing
- Adapter ligation
- Bead-based purification
- Reverse transcription for RNA workflows
- PCR amplification
- Library quantification and QC
Each step can affect the final library.
Poor library preparation can contribute to insufficient yield, uneven coverage, unwanted fragments, or inconsistent sequencing results. For this reason, high-quality sequencing starts with a well-controlled library preparation workflow.
When Does Manual Library Prep Become a Bottleneck?
Manual preparation can work well for small-scale projects. The challenges become more obvious as throughput increases.
|
Challenge |
What happens as throughput increases? |
|
Repetitive pipetting |
Dozens of liquid-handling steps quickly add up across 96 samples |
|
Hands-on time |
More samples require more labor or longer working hours |
|
Operator variation |
Pipetting, mixing, bead handling, and timing can introduce variability |
|
Batch consistency |
Maintaining comparable performance across operators and runs becomes harder |
|
Reagent consumption |
Manual handling can increase overage and unnecessary reagent use |
What Does NGS Automation Actually Change?
The value of automation goes beyond reducing pipetting.
A well-designed automated workflow can provide:
- Standardization — programmed liquid handling and incubation steps reduce operator-dependent variation.
- Throughput — larger batches can be processed without increasing hands-on labor proportionally.
- Traceability — automated run records make workflows easier to monitor and document.
- Reproducibility — standardized parameters help maintain consistency across batches.
For high-throughput laboratories, these benefits can be more important than simply saving a few hours of hands-on work.
Figure 1. Manual versus automated library preparation: the automation dividend.
The Automated Workflow
Automation covers all pipetting, mixing, incubation and purification operations of library construction; the exact flow depends on the sample type. DNA and RNA routes share the same backbone — RNA simply adds enrichment and reverse transcription before the DNA steps.
Figure 2. Automated DNA and RNA library-preparation routes on the MGISP-960.
What Should You Evaluate Before Choosing an Automated Workstation?
Choosing an automation system should start with the workflow, not just the instrument specifications.
1. Throughput
How many samples do you process per run, per day, or per week?
A 96-sample system may be sufficient for one laboratory but limiting for another. Consider whether the platform can support future growth without a proportional increase in labor.
2. Application Coverage
Will the system support only your current workflow, or can it adapt to future applications? A flexible automation platform can be more valuable than a system optimized for only one application.
|
Application |
Example workflow |
|
DNA sequencing |
WGS, targeted sequencing, cfDNA, FFPE |
|
RNA sequencing |
mRNA-seq, total RNA-seq |
|
Microbial sequencing |
mNGS, targeted sequencing |
|
Epigenomics |
Methylation sequencing |
|
Single-cell |
Single-cell library preparation |
|
Long-read sequencing |
Long-read library preparation |
3. Reagent Compatibility
Automation-friendly reagent formats can simplify liquid handling and reduce unnecessary manual transfers.
Premixed reagents, plate-based formats, optimized working volumes, and appropriate dead-volume considerations can all improve workflow efficiency.
4. Script Validation and Support
A demonstration script is not necessarily a validated workflow.
Before choosing a system, consider:
- Who develops and validates the scripts?
- Can workflows be customized?
- How are protocol updates handled?
- What support is available after installation?
For many laboratories, ongoing application support is just as important as the instrument itself.
5. Total Cost of Ownership
Instrument price is only one part of the equation.
Labor, reagents, consumables, maintenance, and workflow development all contribute to the long-term cost.
Instead of asking only:
“How much does the instrument cost?”
consider:
“What does it cost to run this workflow at the throughput I need?”
Making Automation Work in the Real Laboratory
Successful automation depends on details beyond the instrument.
- Before the run
Define the library type, sample number, input range, sequencing platform, reagent compatibility, and pre-/post-PCR workflow layout.
- During the run
Standardize liquid classes, plate formats, bead handling, mixing, incubation, and pipetting parameters.
- After the run
Track library yield, fragment size, QC results, and run records consistently.
This turns automation from a liquid-handling tool into a controlled and traceable library preparation workflow.
Think Beyond the Instrument
For laboratories moving toward automation, it can be useful to think about the workflow in four layers:
Instrument → Reagents → Validated Workflows → Application Support
Each layer matters.
A high-performance instrument cannot compensate for poorly optimized reagents.
A good reagent kit cannot compensate for an unsuitable automation protocol.
And even a validated workflow needs application support when laboratories introduce new sample types or scale up throughput.
The most effective automation strategy is therefore to standardize the workflow as a whole, rather than automate individual steps in isolation.
Yeasen Automated NGS Library Preparation Solution
Yeasen provides an integrated solution combining automation platforms, automation-ready reagents, validated workflows, and application support.
|
Category |
Product |
Cat. No. |
|
Workstation |
MGISP-960 High-Throughput Automated Sample Preparation System |
- |
|
Fluorometer |
80575ES |
|
|
DNA Library Prep |
Hieff NGS™ OnePot Pro DNA Library Prep Kit V4 (Illumina & MGI compatible) |
12972ES |
|
Hieff NGS™ OnePot EvoMax DNA Library Prep Kit(Premixed Version) |
12112ES |
|
|
12927ES |
||
|
Hieff NGS™ OnePot Evo DNA Library Prep Kit (Enzymatic, For FFPE, V4) |
12193ES |
|
|
RNA Library Prep |
12340ES |
|
|
12341ES |
||
|
mRNA Enrichment |
12629ES |
|
|
rRNA Depletion |
12257ES |
|
|
12254ES |
||
|
12264ES |
||
|
Methylation Library Prep |
12214ES |
|
|
Long-Read Library Prep |
13305ES |
|
|
Adapters |
Hieff NGS™ Unique Dual Barcode Primer Kit for MGI, Set 1~Set5 |
13350ES~13353 |
|
Hieff NGS™ Stubby UDI Primer Kit for Illumina, Set 1~Set5 |
12327–12330ES |
|
|
Purification Beads |
12601ES |
|
|
Quantification |
12642ES / 12643ES |
|
|
Consumables |
250 μL filtered sterile tips / 96-deep-well plate (1.3 mL) / 0.2 mL PCR plate (white, full skirt) / qPCR sealing film |
83130ES / 83672ES / 83560ES / 83624ES |
|
Quantification Plate |
96-well ELISA plate, solid black (fluorometry) |
83652ES |
|
QC Instruments |
83509ES / 80571ES |
|
|
Contamination Control |
Non-Corrosive Nucleic Acid Remover |
19710ES |
NGS automation is not simply about replacing manual pipetting with a robot.
The real objective is to build a workflow that can scale without sacrificing consistency, flexibility, or data quality.
That means looking beyond the instrument and evaluating the complete workflow — from reagents and scripts to QC and application support.
Before investing in automation, ask one final question:
Are you automating the instrument, or are you standardizing the entire library preparation workflow?