Abstract
This paper explores the capabilities of genetic algorithms for reconstructing ancestral DNA sequences. We conducted a series of experiments on reconstructing ancestral states from a given collection of taxa and their phylogenetic relationships. We tested the proposed model using simulated phylogenies obtained from actual DNA sequences by applying realistic mutation rates. Experimental results demonstrated that the recursive application of genetic algorithms to smaller instances of the problem allows us to reconstruct ancestral DNA states accurately.
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Martínez, M., Vallejo, E.E., Morett, E. (2007). Ancestral DNA Sequence Reconstruction Using Recursive Genetic Algorithms. In: Randall, M., Abbass, H.A., Wiles, J. (eds) Progress in Artificial Life. ACAL 2007. Lecture Notes in Computer Science(), vol 4828. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76931-6_34
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DOI: https://doi.org/10.1007/978-3-540-76931-6_34
Publisher Name: Springer, Berlin, Heidelberg
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