Chesler Elissa J, Baker Erich J
The Jackson Laboratory, 600 Main Street, Bar Harbor, ME 04609, USA.
Curr Opin Drug Discov Devel. 2010 May;13(3):310-6.
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.
研究疾病多个领域的研究人员认识到整合跨物种和实验方法的大规模基因组实验的价值。已经开发出分析方法来利用新技术数据的广度和深度。目前的数据存储、共享和分析模式对于这些目的而言尚不理想。开放获取且支持分析的储存库对取得进展至关重要，因为它们使个体专家研究人员能够实现基因组数据的全球整合。当前的分析方法利用了数据的全规模和全范围，但需要数据共享、互操作性以及科学界对共享信息价值的认可。
