A probabilistic approach for long read-length DNA sequence analysis

C. G. Molina, J. Mullikin
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引用次数: 4

Abstract

This paper introduces a new algorithm for DNA sequence analysis, based on the use of a reference DNA sequence for the estimation of base positions, and a probabilistic modelling of trace peaks. The new algorithm has been applied to long read-length DNA sequences and its performance has been compared to the base-calling program Phred. The results reported in this paper, after cross-matching with a finished consensus, show a significant improvement by the new algorithm in the final sequence read-length and in the number of correct bases extracted from DNA traces.
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一种用于长读长DNA序列分析的概率方法
本文介绍了一种新的DNA序列分析算法,该算法基于参考DNA序列的碱基位置估计和痕量峰值的概率建模。该算法已应用于长读长DNA序列,并与碱基调用程序Phred进行了性能比较。本文报道的结果在与完成的一致性交叉匹配后,表明新算法在最终序列读长和从DNA痕量中提取的正确碱基数量上有显著改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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