Abstract
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 language | English |
|---|---|
| Article number | 69 |
| Pages (from-to) | 69 |
| Number of pages | 1 |
| Journal | Journal of Mathematical Biology |
| Volume | 86 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 5 Apr 2023 |
| MoE publication type | A1 Journal article-refereed |
Keywords
- Centrosymmetric matrix
- Embedding problem
- Evolutionary model
- Markov matrix
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Dive into the research topics of 'Embeddability of centrosymmetric matrices capturing the double-helix structure in natural and synthetic DNA'. Together they form a unique fingerprint.Projects
- 1 Finished
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-: Algebraic geometry of hidden variable models in statistics
Kubjas, K. (Principal investigator), Boege, T. (Project Member), Kuznetsova, O. (Project Member), Metsälampi, L. (Project Member), Sodomaco, L. (Project Member), Lindy, E. (Project Member), Ardiyansyah, M. (Project Member), Henriksson, O. (Project Member) & Pulkkinen, T. (Project Member)
01/09/2019 → 31/08/2023
Project: Academy of Finland: Other research funding
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