Modeling

Mutation rate estimation

Consider \(L_{S}\) as the number of basepairs that is expected to be mutated. If a part of the sequence you are interested in, is highly conserved choose a lower \(L_{S}\).

**
Table 1: Additional Variables and Parameters used for the calculation of the number of mutated sequences**
List of all paramters and variables used in the analytic solution of this model and the theory behind it.

Symbol | Value and Unit | Explanation |
---|---|---|

\(t \) | [h] | Total time in lagoon |

\(p_{m} \) | [bp/bp] | Expected number of mutations per sequence |

\(p_{M} \) | [bp/sequences] | Expected number of mutations in all sequences |

\(N_{M} \) | [bp] | Number of mutated basepairs |

\(L_{S} \) | [bp] | Length of sequence that is considered |

\(N_{g} \) | [generations] | Number of generations |

\(r_{M} \) | \([\frac{1}{bp \cdot generation}]\) | |

\(\Phi_{L} \) | [Vol/h] | |

\(N_{S} \) | [sequences] | Number of sequences |

\(p_{(N_{M} > 0)} \) | Probability to find at least one mutated sequence in a pool of sequences | |

\(p_{(N_{M} = 0)} \) | Probability to find no mutated sequences in a pool of sequences |

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