FRIENDLY GRANT FOR INCOMING FACULTY MEMBER

为新任教职人员提供友好资助

• 批准号: 7956075
• 负责人: MARIE D DURAND
• 金额: $ 0.08万
• 依托单位: CARNEGIE-MELLON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2010-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7956075
• 关键词: Algorithms; Automation; Biomedical Research; Computer Retrieval of Information on Scientific Projects Database; Data Set; Event; Evolution; Faculty; Funding; Gene Duplication; Gene Family; Genome; Genomics; Grant; Hand; High Performance Computing; Institution; Literature; Methods; Molecular Evolution; Mutation; Recording of previous events; Research; Research Personnel; Resources; Source; Structure; Trees; United States National Institutes of Health; aging gene; design; gene function; member

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Gene duplication is a crucial mechanism in the evolution of gene families and genomic structure. Determining the age of gene duplications is important to understanding the relationship between evolutionary events and gene function i modern genomes. Gene duplication dates cannot, in general, be determined directly from sequence because mutation rates are not constant. We can, however, estimate when gene duplications took place by calibrating duplication with respect to speciation events using evolutionary trees. Many studies of gene duplication dating have appeared in the molecular evolution literature. These analyses have been performed by hand. Data sets are growing substantially, so that they are now at the limit of what can be analyzed by traditional methods, and even existing data sets admit alternative hypotheses which would be too tedious to consider without automation. My research involve the design and implementation of algorithms to analyze the history of gene duplication events automatically, providing a building block for large-scale genomic analysis.

该子项目是利用该技术的众多研究子项目之一 资源由 NIH/NCRR 资助的中心拨款提供。子项目及 研究者 (PI) 可能已从 NIH 的另一个来源获得主要资金， 因此可以在其他 CRISP 条目中表示。列出的机构是 对于中心来说，它不一定是研究者的机构。 基因复制是基因家族和基因组结构进化的重要机制。确定基因重复的年龄对于理解现代基因组中进化事件和基因功能之间的关系很重要。一般来说，基因复制日期不能直接从序列确定，因为突变率不是恒定的。然而，我们可以通过使用进化树校准物种形成事件的重复来估计基因重复发生的时间。分子进化文献中出现了许多关于基因重复测定的研究。这些分析是手工进行的。数据集正在大幅增长，以至于它们现在已经达到了传统方法分析的极限，甚至现有的数据集也承认替代假设，如果没有自动化，这些假设就太乏味了。我的研究涉及自动分析基因重复事件历史的算法的设计和实现，为大规模基因组分析提供了基础。