EAGER: Developing bioinformatics tools for the application of next-generation sequencing technologies to phylogeography.

这个奖项是根据2009年《美国复苏和再投资法案》(公法111-5)资助的。自首次确定基因DNA序列以来的37年里，生物学家从测序技术的几次技术进步中受益。其中最新的，逐个合成的序列，提供了收集的数据的数量和质量的戏剧性改进，并允许生物学家首次在非模型生物中产生基因组数据。采用这项新技术的最大障碍是计算；特别是用于运行后生物信息学处理的软件。这项提议将开发软件，促进对物种内和物种间遗传多样性的调查。软件将在收集的下一代序列数据上进行测试，以增强主要研究人员实验室中现有的项目；这些项目寻求了解北美和南美洲生物物种形成的过程。这项研究将成为系统地理学采用下一代序列数据的催化剂，并将有利于进化生物学、生态学和保护生物学。这项拟议的研究将为一名女性生物信息学研究生提供培训和宝贵的经验，并将使其他研究人员能够利用下一代测序技术。

"This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5)."In the 37 years since the DNA sequence of a gene was first identified, biologists have benefited from several waves of technological advancement in sequencing technologies. The latest of these, sequence-by-synthesis, offers dramatic improvements to both the amount and quality of data collected, and allows biologists to generate genomic data in non-model organisms for the first time. The greatest impediment to the adoption of the novel technology is computational; particularly software for post-run bioinformatics processing. This proposal will develop software that facilitates investigations into the genetic diversity within and between species. Software will be tested on next-generation sequence data collected to augment existing projects in the labs of the principal investigators; these projects seek to understand the process of speciation in organisms from North and South America.This research will serve as a catalyst for the adoption of next-generation sequence data in phylogeography and will also benefit evolutionary biology, ecology, and conservation biology. The proposed research will provide training and valuable experience for a female bioinformatics graduate student, and will enable other researchers to utilize next-generation sequencing technologies.