This handbook serves as an authoritative guide to Big Data pursuits in various branches of life sciences, with an emphasis on computational paradigms, tools, and techniques that are beginning to shape the Big Data advances within the life sciences domain. The term 'life sciences' is meant to encompass a breadth of topics emerging from plant and animal sciences, human health and medicine, and microbiology.
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