大数据的挑战。
The challenges of big data.
作者信息
Mardis Elaine R
机构信息
McDonnell Genome Institute at Washington University School of Medicine, St Louis, MO 63108, USA
出版信息
Dis Model Mech. 2016 May 1;9(5):483-5. doi: 10.1242/dmm.025585.
Abstract
The largely untapped potential of big data analytics is a feeding frenzy that has been fueled by the production of many next-generation-sequencing-based data sets that are seeking to answer long-held questions about the biology of human diseases. Although these approaches are likely to be a powerful means of revealing new biological insights, there are a number of substantial challenges that currently hamper efforts to harness the power of big data. This Editorial outlines several such challenges as a means of illustrating that the path to big data revelations is paved with perils that the scientific community must overcome to pursue this important quest.
摘要
大数据分析的巨大未开发潜力引发了一场“饕餮盛宴”，这是由众多基于新一代测序的数据集推动的，这些数据集旨在回答长期以来关于人类疾病生物学的问题。尽管这些方法可能是揭示新生物学见解的有力手段，但目前仍存在一些重大挑战阻碍着利用大数据力量的努力。本社论概述了其中的几个挑战，以说明通向大数据揭示的道路充满了危险，科学界必须克服这些危险才能追求这一重要探索。
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