Microbial Informatics Resource Core

微生物信息学资源核心

• 批准号: 7700361
• 负责人: RICK L. STEVENS
• 金额: $ 12.64万
• 依托单位: UNIVERSITY OF CHICAGO
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-03-01 至 2009-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7700361
• 关键词: Algorithms; Bacillus anthracis; Bioinformatics; Biological Warfare; Bioterrorism; Characteristics; Class; Collaborations; Communities; Computational Biology; Computational Science; Containment; Data; Data Analyses; Databases; Development; Environment; Future; Gene Expression; Genome; Goals; Imagery; Informatics; Institution; Internet; Laboratories; Mathematics; Metabolic; Microbiology; Organism; Pathogenicity; Pathway interactions; Physiological; Positioning Attribute; Proteomics; Research; Research Infrastructure; Research Personnel; Research Project Grants; Research Proposals; Resource Informatics; Resources; Services; Site; Students; System; Techniques; Training; Virulence Factors; Yersinia pestis; antimicrobial; base; botulinum; c new; cluster computing; computer science; computerized tools; genome sequencing; improved; member; microbial; outreach; pathogen; reconstruction; research and development; tool

The overall long-term goal of the proposed project is to establish a computational environment to support antimicrobial and antibioterrorism research and development. The proposed environment will allow rapid identification and characterization of biological warfare agents and the development of efficient strategies for their containment. We will develop computational tools, algorithms, and databases for analysis, visualization, and annotation of the data targeted to the particular needs of microbiology research and the antibioterrorism effort, and we will provide environment for seamless integration of those tools with the national computational Grid (the NSF TeraGrid). The developed tools will allow identification and characterization of virulence factors, prediction of pathogens' major physiological and metabolic characteristics, and estimation of their taxonomic positions. We will leverage the National Computational Science Alliance Scientific Workspaces of the Future initiative to provide collaboration tools that will enable investigators from multiple institutions to collaborate seamlessly on coherent projects focused on particular pathogens. We also aim to develop and deploy tools that will enable students and other members of the scientific community to be efficiently and effectively trained in the use of computational biology techniques for the particular needs of the anti-bioterrorism effort, and will help overcome the national shortage of workers in computational biology

拟议项目的总体长期目标是建立一个计算环境 支持抗微生物和抗生素恐怖主义研究与发育。拟议的环境 将允许快速识别和表征生物战代理商和发展 有效遏制策略。我们将开发计算工具，算法和 用于分析，可视化和注释针对特定需求的数据的数据库 微生物学研究和抗生素恐怖主义工作，我们将为无缝提供环境 将这些工具与国家计算网格（NSF Teragrid）集成。发达的 工具将允许识别和表征毒力因素，预测病原体的主要 生理和代谢特征及其分类立场的估计。我们将 利用未来倡议的国家计算科学联盟科学工作空间 提供协作工具，以使来自多个机构的调查人员能够合作 无缝地关注特定病原体的连贯项目。我们还旨在发展和 部署将使学生和科学界其他成员成为的工具 有效，有效地培训了特定的计算生物学技术 反恐怖主义努力的需求，并将有助于克服全国范围的工人短缺 计算生物学