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Article

Find Value in Volume: Application of Big Data Analytics

Introduction

Thanks to technology, scientific research can now generate more data than ever before. However, the sheer volumes produced are outstripping the capacities and capabilities of traditional data analysis, thus potentially burying many key discoveries. Big data analytics is the process of examining and parsing these large and varied data sets, looking for trends and associations not readily evident or accessible via traditional methods. The ability to harness big data will be instrumental to the future of all aspects of biological research, ranging from climate and the environment to healthcare and therapeutics.

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  1. How predictive data analytics can drive new breakthroughs
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  4. Deriving insights from publicly available data