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  1. 29 lip 2011 · Given the Euclidean nature of the elementwise square root of phylogenetic distance matrices, the positive semidefinitiveness of the phylogenetic variance–covariance matrix of a trait following a BM model, or related models of trait evolution, can be established.

  2. 19 mar 2016 · The function phyloSignalINT computes phylogenetic signal indices and tests for each internal node of a given phylogeny. Combined with lipaMoran, it can be helpful to identify an interesting region, exhibiting strong conservation, for example, in the phylogenetic tree.

  3. Distance matrices are used in phylogeny as non-parametric distance methods and were originally applied to phenetic data using a matrix of pairwise distances. These distances are then reconciled to produce a tree (a phylogram , with informative branch lengths).

  4. Distance Methods. Tree is built using distances rather than original data Only possible method if data were originally distances: { immunological cross-reactivity { DNA annealing temperature Can also be used on DNA, protein sequences, etc. Large distances are underestimated by raw counts. A mutational model allows corrected distances.

  5. The scale dependency of phylogenetic signals had a strong effect on the ability of phylogenetic distance to predict trait dispersion. Phylogenetic distance as a proxy of trait similarity might work when species are sampled randomly from a species pool for conserved traits.

  6. Here, we show that simply taking the elementwise square root of a distance matrix extracted from a phylogenetic tree ensures having a Euclidean distance matrix. This is true for any type of distances between species (patristic or nodal) and also for trees harboring multifurcating nodes.

  7. 17 gru 2019 · Abstract. Sequence data is now widely used to observe relationships among organisms. However, understanding structure of the qualitative data is challenging. Conventionally, the relationships are...

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