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首页> 外文期刊>Journal of Bioinformatics and Computational Biology >STATISTICAL COMPARISON OF METHODS TO ESTIMATE THE ERROR PROBABILITY IN SHORT-READ ILLUMINA SEQUENCING
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STATISTICAL COMPARISON OF METHODS TO ESTIMATE THE ERROR PROBABILITY IN SHORT-READ ILLUMINA SEQUENCING

机译：短读序列排序中错误概率估计方法的统计比较

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摘要

As was the case in the beginning of the sequencing era, the new generation of short-read sequencing technologies still requires both accuracy of data processing methods and reliable measures of that accuracy.nnInspired by the classic of the genre, the Phred method, we generalized those findings in the area of base quality value calibration. We introduce a simple, straightforward statistically established way to measure the performance of a calibrator, and to find an optimal way to assess its reliability. We illustrate the method by assessing the performance of several calibrators/predictors for Illumina, Genome Analyser 2 (GA2) data. The choice of the best predictor is based on optimization of validity, discriminative ability and discrimination power for several candidate predictors. We applied the method on data from one experimental run for genome of the phage ϕX, and found the best predictor out of ten candidates to be 'Purity', a statistics derived from corrected cluster intensities.nnThe source code for the comparison of the predictors is available from the authors by request.
机译：与测序时代初期一样，新一代的短读测序技术仍然需要数据处理方法的准确性和该准确性的可靠指标。nn受经典流派的启发，Phred方法使我们概括了基本质量值校准领域的发现。我们介绍一种简单，直接的统计确定的方法来测量校准器的性能，并找到评估其可靠性的最佳方法。我们通过评估用于Illumina，基因组分析仪2（GA2）数据的多个校准器/预测器的性能来说明该方法。最佳预测变量的选择基于对几个候选预测变量的有效性，区分能力和区分能力的优化。我们将该方法应用于噬菌体ϕX基因组的一次实验运行中的数据，发现十个候选者中最佳的预测因子为``纯度''，这是从校正后的簇强度得出的统计数据.nn用于预测因子比较的源代码是可根据要求从作者处获得。

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