Why NGS ELN Deployments Fail: Don’t Make These Mistakes

Next-generation sequencing is instrumental in the biopharmaceutical space for personalized medicine, genetic disease research, pharmacogenetics, and more. However, too many labs are held back by failed ELN deployments and systems that just can’t keep up with the scale and complexity of NGS data.

In this whitepaper, we unpack the critical mistakes many labs make when selecting a system to support their NGS workflows – and explore how you can avoid them.

What you’ll learn:

Why generic ELNs fall short for complex, high volume NGS data

The dangers of over-customization and fragmented lab systems

How poor integration with instruments and tools creates research and discovery bottlenecks

Key tips for ensuring successful NGS ELN deployment

How Sapio’s configurable, science-aware ELN platform supports the volume and complexity of NGS data

Deploying an ELN for NGS requires careful consideration of workflow complexity, data management needs, instrument integration, sample tracking, and system unification. By addressing the factors proactively, labs can avoid common pitfalls and enhance the success of NGS initiatives.”

— Sapio Sciences, “Why NGS Deployments Fail”