2nd International Conference on Pathways, Networks, and Systems: Theory and Experiments; October 15-20, 2004; Heraklion, Greece

第二届路径、网络和系统国际会议：理论与实验；

• 批准号: 0439955
• 负责人: Joseph Nadeau
• 金额: $ 4万
• 依托单位: Aegean Conferences
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-15 至 2005-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0439955&HistoricalAwards=false
• 关键词: 2nd; International; Conference; Pathways; Networks

ABSTRACTNSF-0439955Systems biology seeks to understand fundamental mechanisms of organismal biology in humans and other species at the level above individual reactions and structures. Large, complex data sets must be obtained at various levels of biological functions from transcription to end-phenotypes. This involves not only heterogeneous data but these studies must also include time-series and perturbations as they must assess homeostasis and genetic variation. Computer science, statistical and analytical methods must all be developed and applied for managing, distributing, representing, analyzing and modeling these large complex datasets. Networks and pathways must be determined and then annotated with genetic, molecular, biological and pharmacological attributes. Finally, networks and pathways must be engineered to test hypotheses about systems biology in complex organisms. Because the field is inevitably interdisciplinary, many different kinds of effort are required. This is the second year of the conference, with an agenda based on identifying theoretical and experimental platforms for systems biology. Members of underrepresented groups are actively encouraged to attend and present, including students. Sponsors of the conference include the Center for Computational Genomics and Systems Biology (J. Nadeau, CWRU, Cleveland), the Institute for Systems Biology (L. Hood, Seattle), Systemscope (M. Roux and C. Auffray, Paris), Center for Bioinformatics and Systems Biology (S. Surbramaniam, San Diego), and the Keck Graduate Institute (D. Galas, Claremont).

系统生物学试图在个体反应和结构之上的水平上理解人类和其他物种的有机体生物学的基本机制。必须在从转录到最终表型的各种生物学功能水平上获得大的、复杂的数据集。 这不仅涉及异质数据，而且这些研究还必须包括时间序列和扰动，因为它们必须评估稳态和遗传变异。计算机科学、统计和分析方法都必须开发和应用于管理、分发、表示、分析和建模这些大型复杂数据集。必须确定网络和途径，然后用遗传、分子、生物学和药理学属性加以注释。最后，必须设计网络和途径来测试有关复杂生物体中系统生物学的假设。由于该领域不可避免地是跨学科的，因此需要许多不同类型的努力。这是该会议的第二年，其议程基于确定系统生物学的理论和实验平台。 积极鼓励代表性不足的群体成员出席会议，包括学生。会议的赞助商包括计算基因组学和系统生物学中心（J.Nadeau，CWRU，克利夫兰），系统生物学研究所（L。胡德，西雅图），系统范围（M。Roux和C. Auffray，巴黎），生物信息学和系统生物学中心（S。Surbramaniam，圣地亚哥）和凯克研究生院（D。Galas，克莱蒙）。