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

“该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。“自基因的DNA序列首次被发现以来的37年里，生物学家已经从测序技术的几次技术进步中受益。其中最新的合成测序技术极大地提高了收集数据的数量和质量，并首次允许生物学家在非模型生物中生成基因组数据。采用新技术的最大障碍是计算，特别是运行后生物信息学处理软件。该提案将开发有助于调查物种内部和物种之间遗传多样性的软件。软件将在下一代序列数据上进行测试，这些数据是为了加强主要研究人员实验室中现有的项目;这些项目旨在了解来自北美和南美的生物体的物种形成过程。这项研究将成为下一代序列数据在生物地理学中采用的催化剂，也将有利于进化生物学，生态学和保护生物学。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.