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和分子生物学方面的几个统计问题。 许多问题涉及人类和其他基因组的不同类型的地图。 这些地图中的许多需要统计方法来进行汇编；其他人则有错误和偏见，这些错误和偏见最能按统计术语进行量化和处理。 要解决的进一步的问题涉及在系统学和进化论中使用分子数据的使用。 再次，统计模型和方法在有助于阐明系统发育关系以及表达支持数据的强度方面发挥着重要作用。 处理这些问题所需的许多技术都具有迄今统计学中尚未突出特征的方面。