Collaborative Research: Understanding Whole-genome Evolution through Petascale Simulation

合作研究：通过千万亿次模拟了解全基因组进化

• 批准号: 0904461
• 负责人: David Bader
• 金额: $ 40万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0904461&HistoricalAwards=false
• 关键词: Collaborative; Research; Understanding; Whole; genome

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).This research will address critical issues through a collective research effort to develop new algorithms and high-performance software development for data analysis. With the deployment of petascale computing systems, these problems can for the first time be addressed at scale. Nuclear genomes such as Drosophila will serve as the primary source of data to assess models and methods developed and this research leverages past work on the Genome Rearrangement Analysis through Parsimony and other Phylogenetic Algorithms software suite.

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。这项研究将通过集体研究努力来解决关键问题，以开发新的算法和高性能的数据分析软件开发。随着千万亿次计算系统的部署，这些问题第一次可以大规模解决。核基因组，如果蝇将作为数据的主要来源，以评估开发的模型和方法，这项研究利用了过去的工作基因组重排分析通过简约和其他系统发育算法软件套件。