Mathematical Sciences: Statistical Problems in Genetics and Molecular Biology

数学科学：遗传学和分子生物学中的统计问题

• 批准号: 9113527
• 负责人: Terence Speed
• 金额: $ 30万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-07-15 至 1994-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9113527&HistoricalAwards=false
• 关键词: Mathematical; Sciences; Statistical; Problems; Genetics

The principal investigator together with graduate students will work on several statistical problems in genetics and molecular biology. Many of the questions concern the different kinds of maps of the human and other genomes. A number of these maps require statistical methods for their compilations; others have errors and biases which are best quantified and dealt with in statistical terms. A further class of questions to be addressed concern the use of molecular data in systematics and in evolutionary theory more generally. Again statistical models and methods play an important role, both in helping elucidate phylogenetic relationships, and in expressing the strength of support data lends to competing theories. Many of the techniques required for dealing with these questions have aspects which have not featured prominently in Statistics hitherto.

主要研究者与研究生 将研究遗传学中的几个统计问题， 分子生物学 许多问题涉及不同的 人类和其他基因组的图谱。 其中一些 地图需要统计方法来编制;其他 有错误和偏见，最好量化和处理 在统计学上。 另一类问题是 讨论了分子数据在系统学和生物学中的应用， 进化论更普遍。 统计模型和 方法发挥着重要的作用，无论是在帮助阐明 系统发育关系，并在表达的力量， 支持性数据支持相互竞争的理论。 的许多技术 处理这些问题所需的方面， 在统计学上，这一点并不突出。