[Evaluation of the evolution rate in Eigen's and Kuhn's models]
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Updated: Jul 10, 2026

Precise, High-throughput Analysis of Bacterial Growth
Published on: September 19, 2017
Abstract:
The stage evolution of a "population" consisting of informational sequences having fixed length N is investigated. It is assumed that at each stage sequences of a "population" are selected, reproduced, mutated and diluted. Character of an evolution is revealed and the evolution rate is estimated for different values of N, "population" size n, and a number of different symbols lambda in sequences. According to the obtained estimations it is possible to find sequences in an evolution process which are close to the "optimum" one using far less number of sequences (approximately lambda N4) than for a random search (approximately lambda N).
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