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Digital biology: an emerging and promising discipline.

机译:数字生物学:一门新兴而有前途的学科。

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This article examines the role of computation and quantitative methods in modern biomedical research to identify emerging scientific, technical, policy and organizational trends. It identifies common concerns and practices in the emerging community of computationally-oriented bio-scientists by reviewing a national symposium, Digital Biology: the Emerging Paradigm, held at the National Institutes of Health in Bethesda, Maryland, November 6(th) and 7(th) 2003. This meeting showed how biomedical computing promises scientific breakthroughs that will yield significant health benefits. Three key areas that define the emerging discipline of digital biology are: scientific data integration, multi-scale modeling and networked science. Each area faces unique technical challenges and information policy issues that must be addressed as the field matures. Here we summarize the emergent challenges and offer suggestions to academia, industry and government on how best to expand the role of computation in their scientific activities.
机译:本文研究了计算和定量方法在现代生物医学研究中的作用,以确定新兴的科学,技术,政策和组织趋势。通过回顾11月6日至7日在马里兰州贝塞斯达的国立卫生研究院举行的全国研讨会``数字生物学:新兴范例'',它确定了新兴的以计算为导向的生物科学家社区中的共同关注和实践。 th)2003年。这次会议展示了生物医学计算如何实现科学突破,并带来巨大的健康益处。定义数字生物学新兴学科的三个关键领域是:科学数据集成,多尺度建模和网络科学。每个领域都面临着独特的技术挑战和信息政策问题,随着该领域的成熟,必须解决这些问题。在这里,我们总结了新兴的挑战,并就如何最大程度地扩大计算在其科学活动中的作用向学术界,行业和政府提供建议。

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