Embeddability of centrosymmetric matrices

Dimitra Kosta, Muhammad Ardiyansyah, Jordi Roca-Lacostena

Research output: Working paperPreprint

Abstract / Description of output

In this paper, we discuss the embedding problem for centrosymmetric matrices, which are higher order generalizations of the matrices occurring in Strand Symmetric Models. These models capture the substitution symmetries arising from the double helix structure of the DNA. Deciding whether a transition matrix is embeddable or not enables us to know if the observed substitution probabilities are consistent with a homogeneous continuous time substitution model, such as the Kimura models, the Jukes-Cantor model or the general time-reversible model. On the other hand, the generalization to higher order matrices is motivated by the setting of synthetic biology, which works with different sizes of genetic alphabets.
Original languageEnglish
Publication statusPublished - 11 Feb 2022


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