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Tackling Big Data in the Life Sciences - Introduction to the Special Theme

机译:在生命科学中处理大数据-专题介绍

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摘要

The Life Sciences are traditionally a descriptive science, in which both data collection and data analysis both play a central role. The latest decennia have seen major technical advances, which have made it possible to collect biological data at an unprecedented scale. Even more than the speed at which new data are acquired, the very complexity of what they represent makes it particularly difficult to make sense of them. Ultimately, biological data science should further the understanding of biological mechanisms and yield useful predictions, to improve individual health care or public health or to predict useful environmental interferences.
机译:生命科学传统上是描述性科学,其中数据收集和数据分析都起着核心作用。最近的十年出现了重大的技术进步,这使得以前所未有的规模收集生物数据成为可能。甚至比获取新数据的速度要快得多,它们表示的内容非常复杂,因此很难理解它们。最终,生物数据科学应进一步理解生物学机制并得出有用的预测,以改善个人卫生保健或公共卫生或预测有用的环境干扰。

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