SGER: Statistical Analysis of Grass Comparative Maps

这个小型探索性研究基金(SGER)项目专注于评估比较遗传图谱数据的计算和统计方法。两种新的统计方法，共线性检验和基因组矩阵，将被进一步探索和发展。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，这些方法将被证明不仅对解释比较遗传图谱数据有用，而且对解释物理图谱和比较序列数据也有用。

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.