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This chapter introduces some of the methodologies used in estimating genetic distances, how we analyze them, and how we portray our results in a graphical fashion amenable for interpretation. Underlying most estimates of genetic distance are sets of geometric and/or evolutionary assumptions.
24 maj 2017 · Studying isolation by distance can provide useful demographic information. To analyze isolation by distance from molecular data, one can use some kind of genetic distance or coalescent...
16 lut 2016 · Here we present a distance-based approach for inference about population structure using genetic data by defining population structure using network theory terminology and methods. A network is constructed from a pairwise genetic-similarity matrix of all sampled individuals.
17 mar 2021 · A distance matrix has to satisfy additional properties in order to correspond to some weighted tree. In fact, there are two models that assume special constraints on the distance matrix: Ultrametric: For all triplets (a, b, c) of leaves, two pairs among them have equal distance, and the third distance is smaller; i.e. the triplet can be ...
1 lis 1985 · In this paper, we examine a very flexible matrix combinatorial procedure which generates statistical significance levels for correlational measures of pattern similarity between distance...
Distance Methods. Distance is a numerical measure of (dis)similarity of the two taxa. Calculation of the distance between two sequences is one of the simplest phylogenetic analyses, yet it is important for two reasons: 1. Calculate a measure of a distance between each pair in a group of observations (sequences) 2.
We describe methods for estimating the variance of linear combinations of genetic-distance statistics. We also suggest a method for constructing confidence intervals on genetic-distance statistics when these values are small (<(M0) and their distribution deviates substantially from normal. 1.
