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DIMACS Special Year on Computational Molecular Biology

DIMACS 计算分子生物学特别年

基本信息

批准号：
9982983
负责人：
Fred Roberts
金额：
$ 5万
依托单位：
Rutgers University New Brunswick
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2000
资助国家：
美国
起止时间：
2000-07-01 至 2004-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=9982983&HistoricalAwards=false
关键词：
DIMACS Special Year Computational Molecular

项目摘要

DIMACS, the Center for Discrete Mathematics and Theoretical Computer Science, will run a ``Special Year on Computational Molecular Biology'' to follow up on its highly successful ``Special Year on Mathematical Support for Molecular Biology.'' The special year is motivated by major developments at the interface between biology and information science: The availability of massive amounts of data in novel and diverse forms, requiring the expertise of information scientists; the availability of new technologies, powerful experimental tools that need to be integrated with fundamental algorithmic research; and the development of new mathematical and computational tools that make it possible to understand biological processes at a much more complex level than before. The special year will include workshops, visitors, and the involvement of postdoctoral fellows and graduate students from around the country. Activities will be organized around a series of workshops: Integration of Diverse Biological Data, Sequence Motif Recognition, Whole Genome Comparison, Learning Stochastic Processes, Protein Structure (Recent Computational Advances and Future Directions), System-based Modeling in Bioinformatics, Geometric Searching, Analysis of Gene Expression Data, Computational Issues in Signal Transduction, Protein Structure Comparison and Prediction Assessment, and DNA Topology. This award is co-funded with the Sloan Foundation. NSF funds will specifically be used to support the attendance of young scientists from underrepresented minorities.

离散数学和理论计算机科学中心DIMACS将举办“计算分子生物学特别年”，以跟进其非常成功的“分子生物学数学支持特别年”。“生物学和信息科学之间的接口的重大发展的动机是特别的一年：大量的数据以新颖和多样的形式，需要信息科学家的专业知识的可用性;新技术的可用性，需要与基础算法研究相结合的强大的实验工具;以及新的数学和计算工具的发展，使人们有可能在比以前更复杂的水平上理解生物过程。特别的一年将包括研讨会，参观者，以及来自全国各地的博士后研究员和研究生的参与。活动将围绕一系列研讨会组织：多样性生物数据的整合，序列基序识别，全基因组比较，学习随机过程，蛋白质结构（最近的计算进展和未来方向），生物信息学中基于系统的建模，几何搜索，基因表达数据分析，信号转导中的计算问题，蛋白质结构比较和预测评估，以及DNA拓扑结构。该奖项是与斯隆基金会共同资助的。NSF的资金将专门用于支持来自代表性不足的少数民族的年轻科学家的出席。