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Hit integration for identifying optimal spaced seeds

机译:命中整合可确定最佳间隔的种子

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摘要

BackgroundIntroduction of spaced speeds opened a way of sensitivity improvement in homology search without loss of search speed. Since then, the efforts of finding optimal seed which maximizes the sensitivity have been continued today. The sensitivity of a seed is generally computed by its hit probability. However, the limitation of hit probability is that it computes the sensitivity only at a specific similarity level while homologous regions usually distributed in various similarity levels. As a result, the optimal seed found by hit probability is not actually optimal for various similarity levels. Therefore, a new measure of seed sensitivity is required to recommend seeds that are robust to various similarity levels.
机译:背景技术间隔速度的引入为同源性搜索打开了一种提高灵敏度而又不损失搜索速度的方法。从那时起,今天一直在努力寻找使敏感性最大化的最佳种子。种子的敏感性通常通过其命中概率来计算。但是,命中概率的局限性在于它仅在特定的相似度水平上计算灵敏度,而同源区域通常以各种相似度水平分布。结果,通过命中概率找到的最佳种子实际上对于各种相似度级别都不是最佳的。因此,需要一种新的种子敏感性测量方法来推荐对各种相似度水平都具有稳健性的种子。

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