Workshop on Molecular Evolution Data

小行星9317657 该提案旨在提供跨学科的培训，并促进分子生物学家，有机体生物学家和理论家之间的合作。 在分子生物学，生态学，人口生物学，有机体生物学和生物统计学的杰出科学家将提供一个高功率系列讲座。 主题包括但不限于系统发育（系谱）重建理论，大分子比对技术，分子生物学的当前趋势，种群生物学和生物多样性研究的分子方法，比较分子生物学和基因组数据库的比较分析。 计算机实验室将加强讲座的内容。 学生将有机会使用最先进的设施来测试系列讲座中描述的理论概念。 在国家医学实验室系统发育分析软件程序的作者和数据库检索软件的设计者的指导下，学生将有机会比较分子数据的不同分析技术。 计算机实验室将配备各种计算机平台，并将为每个学生提供在与其所在机构的硬件配置相关的环境中工作的机会。 利用各种最新的计算机硬件来实现系列讲座中所描述的概念是本课程的一个显著特点。 该课程是专为既定的研究人员，博士后研究员，并从不同的生物学领域的研究生。

9317657 Sogin This proposal seeks to offer interdisciplinary training and promote collaborative efforts between molecular biologists, organismal biologists and theoreticians. Prominent scientists in molecular biology, ecology, population biology, organismal biology and biometrics will offer a high powered lecture series. Topics to be covered include but are not limited to the theory of phylogenetic (genealogical) reconstruction, macromolecular alignment techniques, current trends in molecular phylogenetics, molecular approaches to studies of population biology and biodiversity, comparative molecular biology, and comparative analysis of genome data bases. The lectures will be augmented by a computer laboratory. Students will have the opportunity to use state-of-the-art facilites to test theoretical concepts described in the lecture series. Guided by authors of phylogenetic analytic software programs and designers of data base retrieval software from the National Laboratory of Medicine, the students will have the opportunity to compare different analytical techniques for molecular data. The computer laboratory will be equipped with diverse computer platforms and will offer each student the opportunity to work in an environment that is relevant to hardware configurations available at their home institution. The opportunity to implement concepts described in the lecture series using diverse up-to-date computer hardware is a distinguishing feature of this course. The course is designed for established investigators, postdoctoral fellows, and graduate students from diverse biological fields.