Next-generation sequencing (NGS) technology has brought an influx of large-scale data and ever-growing demands for compute, resulting in a challenge for those in science informatics. To overcome these issues, laboratories need to be able to support researchers while managing data and the infrastructure needed to deliver mission-critical results and ultimately, positive patient outcomes. At the NGS Data Analysis and Informatics Conference in February, attendees spoke about these challenges at length. This webinar, built from content shared at the event, will review potential approaches to cost-effective data growth using cloud compute and storage. Moving genomics workloads to the cloud can provide scale and affordability, while optimizing investments in existing resources. Adding that ability to allow researchers to easily collaborate while reducing latencies to these resources is pertinent to usability. In this webinar, you’ll learn how to: - Increase computation potential - Optimize your physical infrastructure - Diagram common use cases to meet specific research goals - Increase flexibility by limiting data gravity
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