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Next generation informatics for big data in precision medicine era

机译:精准医学时代的下一代大数据信息学

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The rise of data-intensive biology, advances in informatics technology, and changes in the way health care is delivered has created an compelling opportunity to allow us investigate biomedical questions in the context of “big data” and develop knowledge systems to support precision medicine. To promote such data mining and informatics technology development in precision medicine, we hosted two international informatics workshops in 2014: 1) the first workshop on Data Mining in Biomedical informatics and Healthcare, in conjunction with the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2014), and 2) the first workshop on Translational biomedical and clinical informatics, in conjunction with the 8th International Conference on Systems Biology and the 4th Translational Bioinformatics Conference (ISB/TBC 2014). This thematic issue of BioData Mining presents a series of selected papers from these two international workshops, aiming to address the data mining needs in the informatics field due to the deluge of “big data” generated by next generation biotechnologies such as next generation sequencing, metabolomics, and proteomics, as well as the structured and unstructured biomedical and healthcare data from electronic health records. We are grateful for the BioData Mining’s willingness to produce this forward-looking thematic issue.
机译:数据密集型生物学的兴起,信息技术的发展以及医疗保健方式的变化创造了一个令人信服的机会,使我们能够在“大数据”的背景下研究生物医学问题,并开发支持精密医学的知识系统。为了促进精确医学中的此类数据挖掘和信息学技术的发展,我们在2014年举办了两次国际信息学研讨会:1)首次与生物医学信息学和医疗保健中的数据挖掘研讨会结合第18​​届亚太知识发现和数据会议采矿(PAKDD 2014),以及2)与第八届国际系统生物学会议和第四届转化生物信息学会议(ISB / TBC 2014)联合举办的有关转化生物医学和临床信息学的首次研讨会。本期《生物数据挖掘》主题是这两个国际研讨会的一系列精选论文,旨在解决由于下一代生物技术(例如下一代测序,代谢组学)产生的“大数据”而导致信息学领域的数据挖掘需求,蛋白质组学以及电子健康记录中的结构化和非结构化生物医学和医疗保健数据。我们感谢BioData Mining提出此前瞻性主题问题的意愿。

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