Years and Authors of Summarized Original Work
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1968; Boesch
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1989; Hein
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1989; Culberson, Rudnicki
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2003; King, Zhang, Zhou
Problem Definition
Let n be a positive integer. A distance matrix of order n is a matrix D of size (n × n) which satisfies (1) Di, j > 0 for all \(i,j \in \{ 1,2,\ldots ,n\}\) with i ≠j; (2) Di, j = 0 for all \(i,j \in \{ 1,2,\ldots ,n\}\) with \( i \neq j; \) and (3) Di, j = Dj, i for all \(i,j \in \{ 1,2,\ldots ,n\}\). In the literature, a distance matrix of order n is also called a dissimilarity matrix of order n.
Below, all trees are assumed to be unrooted and edge-weighted. For any tree \(\mathcal{T}\), the distance between two nodes u and v in \(\mathcal{T}\) is defined as the sum of the weights of all edges on the unique path in \(\mathcal{T}\) between u and v and is denoted by \(d_{u,v}^{\mathcal{T}}\). A tree \(\mathcal{T}\) is said to realize a given distance matrix D of order n if and only if it holds that \(\{1,2,\ldots ,n\}\) is a subset of the nodes of \(\mathcal{T}\)...
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Abdi H (1990) Additive-tree representations. In: Dress A, von Haeseler A (eds) Trees and hierarchical structures: proceedings of a conference held at Bielefeld, FRG, Oct 5–9th, 1987. Lecture Notes in Biomathematics, vol 84. Springer, Berlin/Heidelberg, pp 43–59
Batagelj V, Pisanski T, Simões-Pereira JMS (1990) An algorithm for tree-realizability of distance matrices. Int J Comput Math 34(3–4):171–176
Bennett CH, Li M, Ma B (2003) Chain letters and evolutionary histories. Sci Am 288(6):76–81
Boesch FT (1968) Properties of the distance matrix of a tree. Quart Appl Math 26:607–609
Culberson JC, Rudnicki P (1989) A fast algorithm for constructing trees from distance matrices. Inf Process Lett 30(4):215–220
Felsenstein J (2004) Inferring phylogenies. Sinauer Associates, Sunderland
Gusfield DM (1997) Algorithms on strings, trees, and sequences. Cambridge University Press, New York
Hakimi SL, Yau SS (1964) Distance matrix of a graph and its realizability. Quart Appl Math 22:305–317
Hein J (1989) An optimal algorithm to reconstruct trees from additive distance data. Bull Math Biol 51(5):597–603
King V, Zhang L, Zhou Y (2003) On the complexity of distance-based evolutionary tree construction. In: Proceedings of the 14th annual ACM-SIAM symposium on discrete algorithms (SODA 2003), Baltimore, pp 444–453
Nakhleh L, Warnow T, Ringe D, Evans SN (2005) A comparison of phylogenetic reconstruction methods on an Indo-European dataset. Trans Philol Soc 103(2):171–192
Reyzin L, Srivastava N (2007) On the longest path algorithm for reconstructing trees from distance matrices. Inf Process Lett 101(3):98–100
The Canterbury Tales Project. University of Birmingham, Brigham Young University, University of Münster, New York University, Virginia Tech, and Keio University. Website: http://www.petermwrobinson.me.uk/canterburytalesproject.com/
Waterman MS, Smith TF, Singh M, Beyer WA (1977) Additive evolutionary trees. J Theor Biol 64(2):199–213
Wu BY, Chao K-M, Tang CY (1999) Approximation and exact algorithms for constructing minimum ultrametric trees from distance matrices. J Combin Optim 3(2–3):199–211
Saitou N, Nei M (1987) The Neighbor-joining Method: A New Method for Reconstructing Phylogenetic Trees. Mol Biol Evol 4(4):406–425
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JJ was funded by the Hakubi Project at Kyoto University and KAKENHI grant number 26330014.
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Jansson, J. (2016). Phylogenetic Tree Construction from a Distance Matrix. In: Kao, MY. (eds) Encyclopedia of Algorithms. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2864-4_292
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