首页> 外文会议>Annual international conference on Computational molecular biology;International conference on Computational molecular biology >Scoring two-species local alignments to try to statistically separate neutrally evolving from selected DNA segments
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Scoring two-species local alignments to try to statistically separate neutrally evolving from selected DNA segments

机译:计分两种物种的局部比对,以尝试从选择的DNA片段中统计分离出中性进化

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We construct several score functions for use in locating unusually conserved regions in a genome-wide search of aligned DNA from two species. We test these functions on regions of the human genome aligned to the mouse genome. These score functions are derived from properties of neutrally evolving sites on the mouse and human genome, and can be adjusted to the local background rate of conservation. The aim of these functions is to try to identify regions of the human genome that are conserved by evolutionary selection, because they have an important function, rather than by chance. We use them to get a very rough estimate of the amount of DNA in the human genome that is under selection.
机译:我们构建了几个评分函数,用于定位来自两个物种的比对DNA的全基因组搜索中的异常保守区域。我们在与小鼠基因组对齐的人类基因组区域上测试这些功能。这些得分函数源自小鼠和人类基因组上中性进化位点的特性,并且可以调整为局部保守背景速率。这些功能的目的是试图确定人类基因组中通过进化选择保守的区域,因为它们具有重要的功能,而不是偶然的。我们使用它们来粗略估计正在选择的人类基因组中DNA的数量。

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