开源整合基因组学对药物发现的重要性。

Elissa J Chesler, Erich J Baker
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引用次数: 0

摘要

研究许多疾病领域的研究人员认识到跨物种和实验方法整合大规模基因组实验的价值。分析方法已经发展到利用新技术的数据的广度和深度。当前的数据存储、共享和分析范例还不适合这些目的。开放获取和支持分析的存储库对进展至关重要,因为它们将基因组数据的全球整合置于个体专家研究人员的触手可及的范围内。当前的分析方法使用数据的全部规模和范围,但需要数据共享、互操作性和社区对共享信息价值的认可。
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The importance of open-source integrative genomics to drug discovery.

Researchers investigating many areas of disease recognize the value of integrating large-scale genomic experiments across species and experimental methods. Analysis methods have been developed to make use of the breadth and depth of data from new technologies. Current paradigms of data storage, sharing and analysis are not yet ideal for these purposes. Open-access and analysis-enabled repositories are critical to progress, as they put the global integration of genomic data within reach of individual expert investigators. Current analytic approaches use the full scale and scope of data, but require data sharing, interoperability and community recognition of the value of shared information.

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