An Overview of Recent Developments in Genomics and the Statistical Methods that Bear on Them
An Overview of Recent Developments in Genomics and the Statistical Methods that Bear on Them
复制标题
基因组学最新发展及其相关统计方法概述
DOI：
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发表时间：
2009
期刊：
影响因子：
--
通讯作者：
Qunhua Li
中科院分区：
文献类型：
--
作者：
P. Bickel;James B. Brown;Haiyan Huang;Qunhua Li
在过去的二十年里，基因组学的格局发生了巨大的变化。越来越便宜的测序已经将主要焦点从生物序列的获取转移到生物功能的研究。已经开发了用于研究生物系统的许多复杂性的测定法，并且公开可用的数据库已经产生了综合分析，该综合分析将来自许多来源的联合收割机信息结合起来以得出复杂的结论。这种研究是最近在艾萨克·牛顿研究所举行的生物学高维统计研讨会的重点。介绍和讨论了现代基因组学和相关学科的许多计算方法。尽可能多地使用这些演讲中的材料，我们概述了现代基因组学：从使数据生成成为可能的基本分析，到产生有意义的推断的统计方法。在呼吁新的观点，这一领域的希望，我们指出目前的分析挑战，新的方法，或现有方法的新应用，目前需要。
The landscape of Genomics has changed drastically in the last two decades. Increasingly inexpensive sequencing has shifted the primary focus from the acquisition of biological sequences to the study of biological function. Assays have been developed to study many intricacies of biological systems, and publicly available databases have given rise to integrative analyses that combine information from many sources to draw complex conclusions. Such research was the focus of the recent workshop at the Isaac Newton Institute, High Dimensional Statistics in Biology. Many computational methods from modern genomics and related disciplines were presented and discussed. Using, as much as possible, the material from these talks, we give an overview of modern Genomics: from the essential assays that make data-generation possible, to the statistical methods that yield meaningful inference. In hopes of calling fresh perspectives to this field, we point to current analytical challenges, where novel methods, or novel applications of extant methods, are presently needed.
DOI：
10.1073/pnas.87.6.2264
发表时间：
1990-03-01
影响因子：
11.1
作者：
KARLIN, S;ALTSCHUL, SF
通讯作者：
ALTSCHUL, SF
影响因子：
7
作者：
Blanchette, M;Kent, WJ;Miller, W
通讯作者：
Miller, W