The Scale-up Series: How clinical diagnostic labs can flexibly scale NGS data analysis

Author:

QIAGEN Digital Insights

The Scale-up Series: How clinical diagnostic labs can flexibly scale NGS data analysis

Part 1: Overcoming NGS data analysis challenges of high-throughput sequencing

Today clinical diagnostic labs are at a crossroad. You face unprecedented demand for availability, flexibility, and scalability. At the same time, you need to maintain the quality of your services, scale your NGS data analysis, and keep your operations affordable.

In the era of NGS, almost all components of the diagnostic workflow have gone digital—but that doesn’t mean things have gotten easier. There is often a lack in standardization, interoperability, and connectivity at all levels. Applications cannot exchange data, systems are not connected, and data is locked in silos.

 

Leveraging new technologies

But lack of technology is not the problem. There are more technologic solutions available to you than ever before. Technologies like cloud, big data, and artificial intelligence can help improve health outcomes. But you also want to lower costs, improve diagnostic time and quality, and revolutionize the healthcare experience that you provide for both patients and doctors.

Interconnectivity and interoperability are becoming essential, if you want to access the data needed to speed up diagnoses and make real-time decisions. Therefore, you need a comprehensive plan.

In a weekly, four-part blog series for clinical diagnostic labs, we will discuss the four major NGS data analysis challenges and share how you can overcome these barriers with new strategies and solutions.

First up, we address the growing demand for NGS testing and the impact this has on data management.

 

Challenge #1: Managing today’s higher volumes of sequencing data

Since 2017, the demand for clinical diagnostics within the United States has increased by an average of 3.1% each year (1). But with factors such as technological advancements, a rising elderly population, and consumers becoming increasingly aware of available genetic testing services, diagnostic labs are expected to see an exponential growth in NGS testing volume over the next 5 years (2).

 

Solution: Move NGS data analysis to the cloud

Moving your NGS analysis to the cloud will give you an environment that can flexibly scale to meet the demand for increased test volume, all while saving time and money. Cloud-based systems enable you to optimize analysis pipelines for quality, speed, runtime, and cost. The cloud eliminates bottlenecks in processing queues and server capacity.

Yet not all clouds are created equal and clinical genomics entails unique requirements. Look for vendors with solutions that are purpose-built for clinical genomics and who have experience supporting leading diagnostic testing organizations across a wide range of applications.

 

The How: Scale, streamline and simplify your clinical NGS workflow

For clinical diagnostic labs, a platform-as-a-service combined with scalable informatics solutions is the self-running engine for growth within the field.

DNAnexus®, developer of the world’s most secure, trusted platform for biomedical data analysis, and QIAGEN Digital Insights, owner of the world’s largest, fastest growing genomic knowledge base, are partnering to provide clinical diagnostic labs an agnostic, end-to-end workflow for oncology and hereditary disease applications that goes from FASTQ to final report in a fraction of the time and cost.

 

On-demand webinar with DNAnexus

Want to learn more? Watch our on-demand webinar with DNAnexus, where we present an ultra-fast workflow for comprehensive genomic profiling.

  • Learn how to create, refine, validate, and execute NGS analysis and interpretation pipelines in QCI Secondary Analysis, our cloud-based service for NGS secondary analysis, and QCI Interpret—our clinical decision support software that is preconfigured for the Illumina® TruSight™ Oncology 500 assay.
  • Learn how DNAnexus—the world’s most secure, trusted platform for biomedical data analysis—simplifies compliance management and minimizes the need for expensive hardware, additional IT resources, and advanced bioinformatics skills.
  • Receive a virtual demonstration of how to analyze an entire sequencing run in 5 easy steps using this workflow.
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UP NEXT ⇒ “Part 2: How clinical diagnostic labs can automate regulatory compliance”

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