Accurate evaluation and analysis of functional genomics data and methods.
Accurate evaluation and analysis of functional genomics data and methods.
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DOI：
10.1111/j.1749-6632.2011.06383.x
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发表时间：
2012-07
影响因子：
5.2
通讯作者：
Troyanskaya OG
中科院分区：
文献类型：
--
作者：
Greene CS;Troyanskaya OG
能够廉价地对生物系统进行大规模测量的技术的发展产生了丰富的数据。对这些数据的综合分析有望揭示基因的功能、调节，并从长远来看，理解复杂的疾病。然而，他们的分析被证明是非常具有挑战性的，因为很难快速有效地评估这些数据与个别生物学问题的相关性和准确性。在这里，我们确定了对功能基因组数据和方法的评估提出挑战的偏差。然后，我们讨论评估方法，这些方法结合在一起，开始解决这些问题。我们还认为，资助系统的数据驱动的实验和高质量的管理工作将进一步改进评估指标，以便它们更准确地评估功能基因组学数据和方法。这样的衡量标准将使功能基因组学领域的研究人员能够继续以数据驱动的方式回答重要的生物学问题。
The development of technology capable of inexpensively performing large-scale measurements of biological systems has generated a wealth of data. Integrative analysis of these data holds the promise of uncovering gene function, regulation, and, in the longer run, understanding complex disease. However, their analysis has proved very challenging, as it is difficult to quickly and effectively assess the relevance and accuracy of these data for individual biological questions. Here, we identify biases that present challenges for the assessment of functional genomics data and methods. We then discuss evaluation methods that, taken together, begin to address these issues. We also argue that the funding of systematic data-driven experiments and of high-quality curation efforts will further improve evaluation metrics so that they more-accurately assess functional genomics data and methods. Such metrics will allow researchers in the field of functional genomics to continue to answer important biological questions in a data-driven manner.