Mapping Mutations on Phylogenies
Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research
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Mapping Mutations on Phylogenies. / Nielsen, Rasmus.
Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics. ed. / Michael J. Dunn; Lynn B. Jorde; Peter F. R. Little; Shankar Subramaniam. Wiley, 2005.Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research
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TY - CHAP
T1 - Mapping Mutations on Phylogenies
AU - Nielsen, Rasmus
N1 - Keywords: phylogeny; Bayesian analysis; mapping mutations; parsimony
PY - 2005
Y1 - 2005
N2 - This chapter provides a short review of recent methodologies developed for mapping mutations on phylogenies. Mapping of mutations, or character changes in general, using the maximum parsimony principle has been one of the most powerful tools in phylogenetics, and it has been used in a variety of different applications, for example, in the detection of correlated evolution and to identify selection acting on DNA sequences. However, many uses of parsimony mappings have been criticized because they focus on only one of many possible mappings and/or because they do not incorporate statistical uncertainty in the mapping. Recently developed probabilistic methods can incorporate statistical uncertainty in the character mappings. In these methods, focus is on a probability distribution of mutational mappings instead of a single estimate of the mutational mapping.
AB - This chapter provides a short review of recent methodologies developed for mapping mutations on phylogenies. Mapping of mutations, or character changes in general, using the maximum parsimony principle has been one of the most powerful tools in phylogenetics, and it has been used in a variety of different applications, for example, in the detection of correlated evolution and to identify selection acting on DNA sequences. However, many uses of parsimony mappings have been criticized because they focus on only one of many possible mappings and/or because they do not incorporate statistical uncertainty in the mapping. Recently developed probabilistic methods can incorporate statistical uncertainty in the character mappings. In these methods, focus is on a probability distribution of mutational mappings instead of a single estimate of the mutational mapping.
U2 - 10.1002/047001153X.g404309
DO - 10.1002/047001153X.g404309
M3 - Book chapter
SN - 978-0-470-84974-3
BT - Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics
A2 - Dunn, Michael J.
A2 - Jorde, Lynn B.
A2 - Little, Peter F. R.
A2 - Subramaniam, Shankar
PB - Wiley
ER -
ID: 60803