
pmid: 7497121
We construct a mathematical model for the polymerase chain reaction and its mutations using the theory of branching processes. Under this model we study the number of mutations in a randomly chosen sequence after n PCR cycles. A method for estimating the mutation is proposed and the variance of this estimator is studied. We also study the distribution of the Hamming distance between two randomly chosen sequences and a method for estimating the mutation rate based on pairwise differences is proposed.
Base Sequence, Decision Trees, Molecular Sequence Data, DNA, Poisson Distribution, Models, Theoretical, Polymerase Chain Reaction, Mathematics, DNA Primers
Base Sequence, Decision Trees, Molecular Sequence Data, DNA, Poisson Distribution, Models, Theoretical, Polymerase Chain Reaction, Mathematics, DNA Primers
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 58 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
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