BIO Informatics: PostDoctoral Research Fellowship
生物信息学:博士后研究奖学金
基本信息
- 批准号:0532785
- 负责人:
- 金额:$ 18万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2006
- 资助国家:美国
- 起止时间:2006-03-01 至 2009-02-28
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
AbstractDBI- 0532785Jason J. KolbeThis action funds an NSF Postdoctoral Research Fellowship in Biological Informatics for FY 2006. 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 Predicting invasive species distributions using ecological niche models.The training goals are: This project integrates existing data from geo-referenced specimens in natural history museum databases, GIS-based environmental data, biophysical models, physiological measurements, and genetic data from biological invasions to predict the non-native distribution of invasive species. It also compares ecological-niche modeling approaches using three focal invasive species, the brown anole lizard, cane toad, and olive fruit fly. This research requires proficiency with GIS technology, niche modeling methods, museum databases, and biophysical modeling. The main goal of this project is to develop a general framework for understanding and managing biological invasions, which requires integration of data and methods from ecology, evolution, and biodiversity informatics.
DBI-0532785JasonJ.KolbeThis action funds an NSF Postdoctoral Research Fellowship in Biological Informatics for FY 2006. 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。在所有职业层次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“利用生态位模型预测入侵物种分布”。培训目标是:该项目整合了自然历史博物馆数据库中地理参考标本的现有数据、基于地理信息系统的环境数据、生物物理模型、生理测量,和生物入侵的遗传数据来预测入侵物种的非本地分布。它还比较了生态位建模方法,使用三个焦点入侵物种,棕色变色蜥蜴,甘蔗蟾蜍,橄榄果蝇。这项研究需要精通GIS技术,生态位建模方法,博物馆数据库和生物物理建模。该项目的主要目标是开发一个理解和管理生物入侵的通用框架,这需要整合生态学,进化和生物多样性信息学的数据和方法。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Jason Kolbe其他文献
Jason Kolbe的其他文献
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{{ truncateString('Jason Kolbe', 18)}}的其他基金
Collaborative Research: RAPID: Genomic and phenotypic responses to hurricane-mediated selection in an invasive lizard: does epistasis constrain evolution?
合作研究:RAPID:入侵蜥蜴对飓风介导的选择的基因组和表型反应:上位性是否限制进化?
- 批准号:
2302736 - 财政年份:2022
- 资助金额:
$ 18万 - 项目类别:
Standard Grant
RAPID: Testing for hurricane-induced natural selection that reverses the direction of morphological adaptation in Anolis lizards
RAPID:测试飓风引起的自然选择,该选择逆转了安乐蜥蜴形态适应的方向
- 批准号:
1806420 - 财政年份:2017
- 资助金额:
$ 18万 - 项目类别:
Standard Grant
Collaborative Research: Urban Adaptation and its Role in the Success of Biological Invasion in Anolis Lizards
合作研究:城市适应及其在安乐蜥蜴生物入侵成功中的作用
- 批准号:
1354897 - 财政年份:2014
- 资助金额:
$ 18万 - 项目类别:
Standard Grant
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