Weiss G, von Haeseler A
Institute of Zoology, University of Munich, PO Box 202136, D-80021 Munich, Germany.
Nucleic Acids Res. 1997 Aug 1;25(15):3082-7. doi: 10.1093/nar/25.15.3082.
A versatile algorithm is developed to model PCR on a computer. The method is based on a modification of the coalescent process and provides a general framework to analyse data from PCR. It allows for incorporation of the dynamics of the replication process as described in terms of the number of starting template molecules and cycle-dependent PCR efficiency. The simulation method generates, as a first step, the genealogy of a set of sequences sampled from a final PCR product. In a second step a mutation process is superimposed and the resulting data set is analysed. The efficiency of our algorithm enables us to get reliable approximations of various sample distributions. We demonstrate the relevance of our method with two applications: maximum likelihood estimation of the error rate in PCR and a test of homogeneity of the template.
开发了一种通用算法，用于在计算机上对聚合酶链式反应（PCR）进行建模。该方法基于对合并过程的修改，并提供了一个分析PCR数据的通用框架。它允许纳入复制过程的动态情况，这可以根据起始模板分子的数量和依赖循环的PCR效率来描述。作为第一步，模拟方法生成从最终PCR产物中采样的一组序列的谱系。第二步是叠加突变过程，并对所得数据集进行分析。我们算法的效率使我们能够获得各种样本分布的可靠近似值。我们通过两个应用展示了我们方法的相关性：PCR错误率的最大似然估计和模板同质性测试。
