How to Choose a LIMS for a Genomics Laboratory: 12 Questions to Ask Vendors – Part 1

Choosing a Laboratory Information Management System (LIMS) for a genomics laboratory is not simply a matter of comparing feature lists.

Genomics workflows can involve large numbers of samples, multiple preparation and quality control stages, sequencing instruments, bioinformatics systems, complex sample relationships and strict requirements for traceability and data integrity. As laboratories grow, the LIMS also needs to evolve with changing workflows, technologies and operational requirements.

The right LIMS should do more than store sample information. It should connect the laboratory’s workflows, data, instruments and people while reducing unnecessary manual work.

So, how do you choose the right LIMS for a genomics laboratory?

To make the evaluation process easier, we’ve broken this guide into two parts, covering 12 key questions to ask LIMS vendors before making a decision.

1. Can the LIMS support our entire genomics workflow?

Genomics workflows rarely consist of a single test or process. Depending on the laboratory, a workflow may include:

• Sample accessioning and registration
• Sample preparation
• DNA or RNA extraction
• Quantification and quality control
• Library preparation
• Library QC
• Sequencing
• Bioinformatics analysis
• Results review
• Reporting

A LIMS should provide visibility across these stages rather than managing each process as a disconnected activity.

When evaluating a system, map your current workflow and ask the vendor to demonstrate how the LIMS would manage it from sample receipt through to the final result.

2. How easily can our laboratory configure the system?

Genomics laboratories change. New assays are introduced, protocols are updated, QC requirements evolve or workflows are refined. If every change requires custom development from the vendor, the LIMS can quickly become a bottleneck.

A configurable LIMS allows laboratory teams to adapt workflows, fields, business rules, and other system components as requirements change.

When evaluating a LIMS, ask:

• Can our laboratory configure workflows?
• Can we add or modify fields?
• Can we create new sample types?
• Who makes these changes?
• Do changes require vendor development?
• What happens when our workflow changes six months after implementation?

For growing genomics laboratories, configurability can be just as important as the initial feature set.

3. Can it provide end-to-end sample tracking?

Sample management is at the heart of a genomics laboratory. A single original sample may generate multiple derived samples, aliquots, libraries or downstream outputs throughout the workflow.

Look for capabilities such as:

• Unique sample identification
• Barcode support
• Sample relationships
• Aliquot tracking
• Location tracking
• Chain of custody
• Sample status
• Full audit history

The goal is not simply knowing where a sample is, it is being able to reconstruct its history.

4. Can the LIMS integrate with our laboratory instruments?

Genomics laboratories often operate with a diverse technology ecosystem. This can include sequencing platforms, PCR systems, Qubit, NanoDrop, TapeStation, liquid handling systems or other analytical instruments. 

If laboratory staff need to manually transfer information between instruments and the LIMS, the benefits of digitisation are limited.

Ask vendors:

• Which instruments can you integrate with?
• How does the integration work?
• Can data be transferred automatically?
• Can the LIMS validate incoming data?
• Can it connect to new instruments in the future?
• Does the vendor support APIs or middleware?
• Who is responsible for maintaining integrations?

A modern LIMS should fit into your laboratory’s technology ecosystem rather than forcing your laboratory to work around the limitations of the system.

5. Can it connect with bioinformatics and other laboratory systems?

Sequencing is only one part of a genomics workflow. The data generated by sequencing may need to move into bioinformatics pipelines, analysis platforms, reporting systems or other applications.

That means LIMS integration should not stop at laboratory instruments.

Consider whether the system can connect with:

• Bioinformatics platforms
• Analysis pipelines
• ELN systems
• ERP systems
• External applications

When evaluating a vendor, ask about its API capabilities and integration architecture.

A LIMS with an open and well-supported integration approach can provide more flexibility as your laboratory technology environment changes.

6. How does the LIMS manage quality control?

Quality control is fundamental to genomics workflows. Depending on the workflow, laboratories may need to monitor measurements such as DNA/RNA concentration, purity, fragment size or other assay-specific QC parameters. 

A suitable LIMS should allow laboratories to define and manage QC requirements as part of the workflow. Instead of treating QC as a separate spreadsheet or manual checkpoint, the LIMS can connect QC results with the relevant sample and workflow stage.

Ask vendors:

• Can QC requirements be configured?
• Can results be automatically captured from instruments?
• Can failed QC trigger workflow actions?
• Can QC information be included in reports and dashboards?

The objective is to make quality control part of the workflow rather than another disconnected administrative task.

If you’re currently evaluating LIMS solutions, our guide to the QLIMS for genomics laboratories provides a closer look at the capabilities to consider and how QLIMS can support complex genomics workflows.

Book a demo with us today to see firsthand how we could support you.