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Significance of Gapped Sequence Alignments

机译:缺口序列比对的意义

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Measurement of the statistical significance of extreme sequence alignment scores is key to many important applications, but it is difficult. To precisely approximate alignment score significance, we draw random samples directly from a well chosen, importance-sampling probability distribution. We apply our technique to pairwise local sequence alignment of nucleic acid and amino acid sequences of length up to 1000. For instance, using a BLOSUM62 scoring system for local sequence alignment, we compute that the p-value of a score of 6000 for the alignment of two sequences of length 1000 is (3.4 ± 0.3) × 10−1314. Further, we show that the extreme value significance statistic for the local alignment model that we examine does not follow a Gumbel distribution. A web server for this application is available at http://bayesweb.wadsworth.org/alignmentSignificanceV1/.
机译:极端序列比对得分的统计显着性的测量是许多重要应用的关键,但这很困难。为了精确地估算比对得分的重要性,我们直接从精心选择的重要性抽样概率分布中抽取随机样本。我们将我们的技术应用于长度不超过1000的核酸和氨基酸序列的成对局部序列比对。例如,使用BLOSUM62评分系统进行局部序列比对,我们计算出该比对的p值为6000两个长度为1000的序列的(3.4±0.3)×10-1314。此外,我们表明,我们检查的局部比对模型的极值显着性统计数据不遵循Gumbel分布。可从http://bayesweb.wadsworth.org/alignmentSignificanceV1/获得该应用程序的Web服务器。

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