The role of genomics in disease research involves determining how a patient would react to a particular drug. The process is referred to as “Pharmacogenomics” or “Personalized medicine”. Big data capabilities and advancements in computational techniques have been leading a revolution in the genomics space that has helped reduce the cost of genome sequencing from millions to thousands of dollars in the past two decades. In this post, we will discuss how big data is helping genomics transition from a purely research-oriented field into a day-to-day clinical application role, and explore ways to increase the adoption of personalized medicine in a clinical setting.
The Promise of Big Data
The Tale of Big Data Analytics Helping Genomics Move from Research to Personalized Medicine Print
Modified on: Tue, 9 Feb, 2021 at 6:15 PM
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