Postdoctoral Research Fellowship in Biological Informatics for FY 2005

2005财年生物信息学博士后研究奖学金

• 批准号: 0434577
• 负责人: Michael Moody
• 金额: --
• 依托单位: Moody Michael L
• 依托单位国家: 美国
• 项目类别: Fellowship
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-04-01 至 2007-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0434577&HistoricalAwards=false
• 关键词: Postdoctoral; Research; Fellowship; Biological; Informatics

This action funds an NSF Postdoctoral Research Fellowship in Biological Informatics for FY 2005. The fellowship supports research and training at the postdoctoral level at the intersection of biology and the informational, computational, mathematical, and statistical sciences. The goal of the fellowship is to provide training to a young scientist in preparation for a career in biological informatics in which research and education will be integrated. There is an increasing need for training in biological informatics at all occupational levels, and it is expected that Fellows trained through these fellowships will play important roles in training the future workforce.The research and training plan for this fellowship is entitled "A universal approach for identifying previous hybridization events." Methods for reconstructing the history of life assume that evolution occurs through divergence. However, it's known that evolutionary branches sometimes converge as a consequence of interspecies hybridization, but there are no reliable methods for detecting earlier hybridization events. This research is developing and testing a reliable approach for the identification of hybridization using linkage disequilibrium and phylogenetic incongruence using North American sunflowers as an experimental system. Also, simulation studies are being performed to evaluate the conditions under which the method will be successful and the sampling strategies that offer the most power for detecting hybrid lineages.In addition to solving a fundamental biological problem, this fellowship enhances training in phylogenetic theory, statistical methodology and simulation techniques. The skills learned and collaborations cultivated over the tenure of this fellowship will be utilized in building a diverse research program in the biological sciences.

这项行动为2005财政年度的NSF生物信息学博士后研究奖学金提供资金。该奖学金支持在生物学和信息，计算，数学和统计科学的交叉点博士后水平的研究和培训。该研究金的目标是向一名青年科学家提供培训，为从事研究和教育相结合的生物信息学职业做准备。在所有职业级别上对生物信息学培训的需求日益增加，预计通过这些研究金培训的研究员将在培训未来的劳动力方面发挥重要作用，该研究金的研究和培训计划题为“识别以前杂交事件的通用方法。“重建生命历史的方法假设进化是通过分歧发生的。然而，众所周知，进化分支有时会因物种间杂交而收敛，但没有可靠的方法来检测早期的杂交事件。这项研究正在开发和测试一种可靠的方法，用于识别杂交使用连锁不平衡和系统发育不一致使用北美向日葵作为实验系统。此外，正在进行模拟研究，以评估该方法成功的条件和为检测杂交谱系提供最大功率的采样策略。除了解决基本的生物学问题外，该奖学金还加强了系统发育理论，统计方法和模拟技术的培训。在该奖学金的任期内学到的技能和培养的合作将用于建立生物科学的多样化研究计划。