Lecture 17
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Phylogenetic Analysis
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Lecture Slides
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Lecture 17, Slide 001
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Lecture 17, Slide 012
Usually, analysis of confidence implies a "bootstrapping" procedure: rerun the analysis many times with partial data and analyze which features of the tree (branching order -> topology!) are well conserved, and which ones depend critically on unreliable features of the input data.
Usually, analysis of confidence implies a "bootstrapping" procedure: rerun the analysis many times with partial data and analyze which features of the tree (branching order -> topology!) are well conserved, and which ones depend critically on unreliable features of the input data.
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Lecture 17, Slide 013
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Lecture 17, Slide 014
Note that distance methods first reduce the explicit molecular data into a matrix of pairwise distances, then operate on that "summary" to construct the most plausible tree. They are fast, but less accurate than some alternatives.
Note that distance methods first reduce the explicit molecular data into a matrix of pairwise distances, then operate on that "summary" to construct the most plausible tree. They are fast, but less accurate than some alternatives.
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Genomes are and always have been exquisitly plastic, malleable entities. That we have long thought this not to be the case is a consequence of our limited personal experience and anthropocentric world view.
Genomes are and always have been exquisitly plastic, malleable entities. That we have long thought this not to be the case is a consequence of our limited personal experience and anthropocentric world view.
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