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杜克大学建立统计遗传学和基因组学研究中心

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 近日,杜克大学医学院表示,他们已经建立了统计遗传学和基因组学的研究中心,该中心或可为科学家们提供一定的空间来进行多学科的研究,并且为进行基因组学中的计算机和统计学研究提供帮助。

  近日,杜克大学医学院表示,他们已经建立了统计遗传学和基因组学的研究中心,该中心或可为科学家们提供一定的空间来进行多学科的研究,并且为进行基因组学中的计算机和统计学研究提供帮助。
  目前由擅长生物统计学及生物信息学的Andrew Allen教授领导该中心,他表示,该中心将会汇集多学科的大量精英,比如数学、生物统计学、工程学等领域的精英来帮助攻克基因组药物研究中的关键问题。该中心将会在共同的实验室环境中为培训者带来多种多样的教育培训程序,而且培训者也可以通过学习钻研达到解决问题的目的。
  Allen在一份声明中指出,这种从不同视角和背景的培训中心或将打破不同学科间的传统障碍,并且为未来从事基因组定量的科学家的研究提供潜在的模型。
  复杂的计算机和统计学方法对于深入研究疾病的发病机理以及鉴别开发重要的疗法或将带来巨大帮助;而作为一个研究机构,杜克大学不仅可以为研究者提供多种研究的基础设施设备,而且其还可以成为某个领域的“领头羊”,不断推进用于研究基因组的计算机和统计学方法的发展。(转化医学网360zhyx.com)
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Duke Sets up Center for Statistical Genetics and Genomics
Duke University School of Medicine has established a new Center for Statistical Genetics and Genomics, providing a space for scientists from various disciplines across campus to work collaboratively on computational and statistical challenges in genomics.

The university has tapped Andrew Allen, a professor of biostatistics and bioinformatics at Duke, to lead the center, which it said will bring together quantitative talent from disciplines such as math, biostatistics, statistics, and engineering to work on key problems in genomic medicine. The center will also bring trainees from various educational programs together in a common laboratory environment where they will work together in teams to solve problems, the university said.

"This mixing of various perspectives and backgrounds will help break down traditional barriers between disciplines and will form a potent model for the development of future quantitative genomic scientists," Allen said in a statement.

"Sophisticated computational and statistical methods are required to advance our knowledge of disease biology as well as to identify important, treatment-relevant features of individual patient genomes," he continued. "It is essential that, as an institution, Duke not only be a sophisticated user of these techniques and create an infrastructure for their principled use, but that Duke becomes a leader in this field and push the development of computational and statistical approaches that respond to existing or emerging challenges."

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