BIO Informatics: PostDoctoral Research Fellowship

jason J. kolbe2006年度美国国家科学基金生物信息学博士后研究资助。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研究和培训。该研究金的目标是向青年科学家提供培训，为从事生物信息学方面的研究和教育相结合的职业做准备。越来越需要在所有职业级别上进行生物信息学培训，预期通过这些研究金培训的研究员将在培训未来工作人员方面发挥重要作用。该奖学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”。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gis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，以预测入侵物种的非本地分布。它还比较了使用三种焦点入侵物种的生态位建模方法，即棕色变色蜥蜴，甘蔗蟾蜍和橄榄果蝇。这项研究需要熟练掌握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建立一个理解和管理生物入侵的总体框架，这需要整合来自生态学、进化和生物多样性信息学的数据和方法。

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.