It usually starts small for genomics labs. A few samples a day, a couple of instruments and a team that knows exactly what’s going on. You don’t even notice how things change.
Until one day, you do.
More samples start coming in, sequencing workflows become more complex and data piles up faster than expected.
And suddenly, simple things aren’t simple anymore.
“Where is this sample?”
“Was QC completed?”
“Which version of the process did we follow?”
No one is doing anything wrong. It’s just that the system around them hasn’t kept up.
From sample preparation to sequencing and downstream analysis, every step generates large volumes of data, requires precision, and depends heavily on the integrity of the previous stage. Choosing the right Laboratory Information Management System (LIMS) in this context is not just about digitising processes, it is about creating a structured foundation that supports the entire lifecycle of genomic data while enabling labs to scale without losing control.
Custom vs Configurable: A Critical Decision
When labs reach this point, the question often becomes whether to build a custom LIMS tailored to their workflows or adopt a configurable platform that can evolve with them.
A custom LIMS can feel like the perfect fit at the beginning. It is designed around current processes and promises full control. However, genomics environments do not stand still. Workflows change, new instruments are introduced, and data requirements continue to grow. What was once a perfect fit can quickly become rigid, requiring ongoing development effort to keep up.
A configurable LIMS takes a different approach. Instead of building from scratch, it provides a flexible framework that allows laboratories to adapt workflows, manage sequencing processes, and adjust quality control steps without needing to rebuild the system. This becomes especially important in genomics, where change is constant and the ability to respond quickly is critical.
Moving Beyond Disconnected Systems
One of the most common approaches to managing complexity is to introduce additional tools for specific tasks, such as separate systems for quality control, reporting, or instrument data capture. While this may solve short-term challenges, it often creates silos that make the overall workflow harder to manage.
What genomics laboratories increasingly need is not more tools, but better coordination between them. A modern LIMS should act as a central platform that brings together all aspects of the laboratory environment, allowing teams to manage workflows holistically rather than in isolation.
With a platform approach like QLIMS, laboratories can design and manage sequencing workflows in a structured way, ensuring that each step is clearly defined, consistently executed, and fully traceable. From sample intake through to final data output, every action is recorded within a single system, creating a continuous and reliable flow of information.
Please see the below diagram to see how it provides an end-to-end solution, bringing automation, integration, and reporting into a single, secure, and accessible platform:
QLIMS Genomics Workflow Example
Supporting Growth Without Adding Complexity
As genomics laboratories expand, their systems must be able to scale alongside them. This includes handling increasing data volumes, supporting more complex workflows, and enabling collaboration across teams and locations.
Cloud-based infrastructure, such as that provided by Amazon Web Services (AWS), plays an important role in supporting this growth by offering secure, flexible, and scalable environments. Rather than investing in and maintaining on-premise infrastructure, laboratories can focus on their core activities while relying on a platform that adapts to their needs.
In this context, a configurable LIMS provides a clear advantage, allowing labs to evolve their workflows and integrations without introducing unnecessary complexity or relying on continuous redevelopment.
Final Note
If you are exploring how to better structure your genomics workflows and prepare your lab for growth, feel free to reach out to book a demo and see how QLIMS can support your processes with the flexibility and scalability required in modern genomics environments.
