Postdoctoral Research Fellowship in Biological Informatics for FY 2002

2002财年生物信息学博士后研究奖学金

• 批准号: 0204068
• 负责人: Stephanie Hampton
• 金额: $ 10万
• 依托单位: Hampton Stephanie E
• 依托单位国家: 美国
• 项目类别: Fellowship Award
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-07-01 至 2004-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0204068&HistoricalAwards=false
• 关键词: Postdoctoral; Research; Fellowship; Biological; Informatics

This action funds an NSF Postdoctoral Research Fellowship in Biological Informatics for FY2002. 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 "The effect of winter variability on biodiversity and community dynamics: analysis of long-term lake data." Strong contrast between winter and summer abiotic conditions annually provides distinctly different habitat within one location, promoting biodiversity. To determine effects of reducing this environmental heterogeneity, this research uses multispecies autoregressive analysis (MARs) to analyze complex seasonal community transitions, discerning biotic pathways through which winter conditions affect both summer and winter communities.

这项行动资助了 2002 财年 NSF 生物信息学博士后研究奖学金。 该奖学金支持生物学与信息、计算、数学和统计科学交叉领域的博士后水平的研究和培训。该奖学金的目标是为年轻科学家提供培训，为将研究和教育融为一体的生物信息学职业做好准备。各个职业级别对生物信息学培训的需求日益增长，预计通过这些奖学金培训的研究员将在培训未来劳动力方面发挥重要作用。该奖学金的研究和培训计划的标题是“冬季的影响”生物多样性和群落动态的变异性：长期湖泊数据分析。” 每年冬季和夏季非生物条件之间的强烈对比在一个地点提供了明显不同的栖息地，促进了生物多样性。为了确定减少这种环境异质性的效果，本研究使用多物种自回归分析（MAR）来分析复杂的季节性群落转变，辨别冬季条件影响夏季和冬季群落的生物途径。