Lecture 17
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Phylogenetic Analysis
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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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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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