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Data Algorithms by Mahmoud Parsian

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Foreword

Unlocking the power of the genome is a powerful notion—one that intimates knowledge, understanding, and the ability of science and technology to be transformative. But transformation requires alignment and synergy, and synergy almost always requires deep collaboration. From scientists to software engineers, and from academia into the clinic, we will need to work together to pave the way for our genetically empowered future.

The creation of data algorithms that analyze the information generated from large-scale genetic sequencing studies is key. Genetic variations are diverse; they can be complex and novel, compounded by a need to connect them to an individual’s physical presentation in a meaningful way for clinical insights to be gained and applied. Accelerating our ability to do this at scale, across populations of individuals, is critical. The methods in this book serve as a compass for the road ahead.

MapReduce, Hadoop, and Spark are key technologies that will help us scale the use of genetic sequencing, enabling us to store, process, and analyze the “big data” of genomics. Mahmoud’s book covers these topics in a simple and practical manner. Data Algorithms illuminates the way for data scientists, software engineers, and ultimately clinicians to unlock the power of the genome, helping to move human health into an era of precision, personalization, and transformation.

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