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11.6 Bibliographic Notes
J. P. Barthelemy and A. Guenoche: Trees and Proximity Representations. Wiley, 1991.
V. Berry, D. Bryant, T. Jiang, P. Kearney, M. Li, T. Wareham, and H. Zhang: A practical algorithm for recovering the best supported edges of an evolutionary tree. Proceedings of the Eleventh Annual ACM-SIAM Symposium on Discrete Algorithms (SODA’00), 2000, pp. 287–296.
P. Buneman: The recovery of trees from measures of dissimilarity. In: F. R. Hodson, D. G. Kendall, and P. Tautu (eds.): Mathematics in the Archaeological and Historical Sciences, Edinburgh University Press, 1971, pp. 387–395.
P. Clote and R. Backofen: Computational Molecular Biology — An Introduction. Wiley, 2000.
R. Durbin, S. Eddy, A. Krogh, and G. Mitchinson: Biological Sequence Analysis — Probabilistic Models of Proteins and Nucleic Acids. Cambridge University Press, 1998.
W. J. Ewens and G. R. Grant: Statistical Methods in Bioinformatics — An Introduction. Springer, 2002.
M. Farach, S. Kannan, and T. Warnow: A robust model for finding optimal evolutionary trees. Algorithmica 13, 1995, pp. 155–179.
J. Felsenstein: Evolutionary trees from DNA sequences: A maximum likelihood approach. Journal of Molecular Evolution 17, 1981, pp. 368–378.
J. Felsenstein: Statistical inference of phylogenies. Journal of the Royal Statistical Society A 146(3), pp. 246–272.
W. M. Fitch: Toward defining the course of evolution: minimum change for a specified tree topology. Systematic Zoology 20, 1971, 406–416.
W. M. Fitch and E. Margoliash: The construction of phylogenetic trees. Science 155, 1967, pp. 279–284.
D. Gusfield: Efficient algorithms for inferring evolutionary trees. Networks 21, 1991, pp. 19–28.
D. Gusfield: Algorithms on Strings, Trees, and Sequences. Cambridge University Press, 1997.
T. Jiang, P. Kearney, and M. Li: Orchestrating quartets: approximation and data correction. Proceedings of the 39th IEEE Symposium on Foundations of Computer Science (FOCS’98), 1998, pp. 416–425.
P. Kearney: Phylogenetics and the quartet method. In: T. Jiang, Y. Xu, and M. Q. Zhang (eds.): Current Topics in Computational Molecular Biology, MIT Press, 2002, pp. 111–133.
E. Schröder: Vier combinatorische Probleme. Zeitschrift für Mathematik und Physik 15, 1870, pp. 361–376.
C. Semple and M. Steel: Phylogenetics. Oxford University Press, 2003.
J. Setubal and J. Meidanis: Introduction to Computational Molecular Biology. PWS Publishing Company, 1997.
R. R. Sokal and C. D. Michener: A statistical method for evaluating systematic relationships. University of Kansas Scientific Bulletin 28, 1958, pp. 1409–1438.
K. Strimmer and A. von Haeseler: Quartet puzzling: a quartet maximum-likelihood method for reconstructing tree topologies. Molecular Biology and Evolution 13(7), 1996, pp. 964–969.
D. L. Swofford and G. J. Olsen: Phylogeny reconstruction. In: D. M. Hillis and C. Moritz (eds.): Molecular Systematics, Sinauer Associates, 1990, pp. 411–501.
M. S. Waterman: Introduction to Computational Biology — Maps, Sequences and Genomes. Chapman & Hall/CRC, 1995.
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(2007). Phylogenetic Trees. In: Algorithmic Aspects of Bioinformatics. Natural Computing Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71913-7_11
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