Translational Bioinformatics: Past, Present, and Future.

Translational Bioinformatics: Past, Present, and Future.
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DOI:
10.1016/j.gpb.2016.01.003
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发表时间:
2016-02
期刊:
Genomics, proteomics & bioinformatics
影响因子:
--
通讯作者:
Tenenbaum JD
Tenenbaum JD
中科院分区:
其他
文献类型:
--
作者:
Tenenbaum JD

文献摘要

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虽然是一个相对年轻的学科,但转化生物信息学(TBI)已成为精准医学时代生物医学研究的关键组成部分。高通量技术和电子健康记录的发展导致了医疗保健和生物医学研究的范式转变。需要新颖的工具和方法将日益庞大的数据集转化为信息和可操作的知识。这篇综述提供了术语TBI的定义和背景,描述了该学科的简史和过去的成就,以及当前的焦点,并对该领域的未来方向进行了预测。
Though a relatively young discipline, translational bioinformatics (TBI) has become a key component of biomedical research in the era of precision medicine. Development of high-throughput technologies and electronic health records has caused a paradigm shift in both healthcare and biomedical research. Novel tools and methods are required to convert increasingly voluminous datasets into information and actionable knowledge. This review provides a definition and contextualization of the term TBI, describes the discipline’s brief history and past accomplishments, as well as current foci, and concludes with predictions of future directions in the field.