SGER: Statistical Analysis of Grass Comparative Maps

SGER：草地比较图的统计分析

• 批准号: 0113498
• 负责人: Brandon Gaut
• 金额: $ 9.43万
• 依托单位: University of California-Irvine
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-04-01 至 2003-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0113498&HistoricalAwards=false
• 关键词: SGER; Statistical; Analysis; Grass; Comparative

This Small Grant for Exploratory Research (SGER) project focuses on computational and statistical methods to evaluate comparative genetic map data. Two new statistical approaches, the colinearity test and the genome matrix, will be explored and developed further. Both methods will be applied to an existing biological problem that needs reassessment - the comparative map of the grasses. Both methods will be implemented in computer programs that will be released to the scientific community. Eventually, these methods will prove useful not only for interpreting comparative genetic map data but also for interpreting physical map and comparative sequence data.

这个探索性研究（SGER）项目的重点是计算和统计方法，以评估比较遗传图谱数据。两个新的统计方法，共线性测试和基因组矩阵，将进一步探索和发展。这两种方法都将应用于一个需要重新评估的现有生物学问题--草的比较地图。 这两种方法都将在计算机程序中实现，并将发布给科学界。最终，这些方法将被证明是有用的，不仅用于解释比较遗传图谱数据，而且用于解释物理图谱和比较序列数据。