Mathematical Sciences: Genome Dynamics: Stochastic Modeling of Variable Gene Copy Numbers

数学科学：基因组动力学：可变基因拷贝数的随机建模

• 批准号: 9203436
• 负责人: Marek Kimmel
• 金额: $ 3万
• 依托单位: William Marsh Rice University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-07-01 至 1994-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9203436&HistoricalAwards=false
• 关键词: Mathematical; Sciences; Genome; Dynamics; Stochastic

The principal investigator will extend the modeling of gene amplification to situations in which there is new experimental evidence. Some of the aspects of gene amplification to be considered are integration of extrachromosomal fragments, unequal chromatid exchange, and variable length of repeats in telomeres at the ends of chromosomes. The mathematical models to be used will include branching processes and random walks. The models will be used to estimate the probabilities and transition rates of the events. The principal investigator will develop new mathematical models in genetics. The goals of this work will be to test if mathematical models based on previously proposed informal biological models are sufficient to reproduce experimental observations in quantitative detail, to provide a better understanding of the molecular processes, and to suggest new experiments which would be informative.

首席研究员将扩展基因的建模 扩大到有新的实验的情况下， 证据 基因扩增的一些方面 认为是染色体外片段的整合，不平等 染色单体交换和端粒重复序列长度可变 在染色体的末端。 使用的数学模型 将包括分支过程和随机游走。 模型 将被用来估计概率和转移率 事件。 首席研究员将开发新的数学 遗传学中的模型 这项工作的目标将是测试， 基于先前提出的非正式数学模型 生物模型足以重现实验 详细的定量观察，以提供更好的 了解分子过程，并提出新的 这些实验将是有益的。