Abstract
Maximum Parsimony (MP) methods were originally developed for comparing morphologies. However, they are increasingly being used on molecular data for inferring species trees from gene trees. In MP methods, four or more aligned nucleotide or amino acid sequences are considered. The parsimony analysis for each site in the aligned sequence is performed for each possible tree, where the tree that produces the alignment with the minimal number of transformations is considered to be the one with maximum parsimony. The theoretical basis for the method is Occam’s razor which states that the explanation of any phenomenon should make as few assumptions as possible, eliminating, or “shaving off,” those that make no difference in the observable predictions of the explanatory hypothesis or theory. Thus, the simplest explanation is the one that is most likely correct.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Liò, P., Bishop, M.: Modeling sequence evolution. Methods Mol. Biol. 452, 255–285 (2008)
Gambin, A., Slonimski, P.P.: Hierarchical clustering based upon contextual alignment of proteins: a different way to approach phylogeny. C. R. Biol. 328(1), 11–22 (2005)
Simmons, M.P., Ochoterena, H., Carr, T.G.: Incorporation, relative homoplasy, and effect of gap characters in sequence-based phylogenetic analyses. Syst. Biol. 50(3), 454–462 (2001)
Simmons, M.P., Ochoterena, H.: Gaps as characters in sequence-based phylogenetic analyses. Syst. Biol. 49(2), 369–381 (2000)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Singh, G.B. (2015). Character Based Methods: Parsimony. In: Fundamentals of Bioinformatics and Computational Biology. Modeling and Optimization in Science and Technologies, vol 6. Springer, Cham. https://doi.org/10.1007/978-3-319-11403-3_15
Download citation
DOI: https://doi.org/10.1007/978-3-319-11403-3_15
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11402-6
Online ISBN: 978-3-319-11403-3
eBook Packages: EngineeringEngineering (R0)