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  2. Hardy–Weinberg principle - Wikipedia

    en.wikipedia.org/wiki/Hardy–Weinberg_principle

    In population genetics, the Hardy–Weinberg principle, also known as the Hardy–Weinberg equilibrium, model, theorem, or law, states that allele and genotype frequencies in a population will remain constant from generation to generation in the absence of other evolutionary influences.

  3. Bayesian inference in phylogeny - Wikipedia

    en.wikipedia.org/wiki/Bayesian_inference_in...

    The posterior probability of a tree will be the probability that the tree is correct, given the prior, the data, and the correctness of the likelihood model. MCMC methods can be described in three steps: first using a stochastic mechanism a new state for the Markov chain is proposed. Secondly, the probability of this new state to be correct is ...

  4. Fisher's fundamental theorem of natural selection - Wikipedia

    en.wikipedia.org/wiki/Fisher's_fundamental...

    Fisher's fundamental theorem of natural selection is an idea about genetic variance [1] [2] in population genetics developed by the statistician and evolutionary biologist Ronald Fisher. The proper way of applying the abstract mathematics of the theorem to actual biology has been a matter of some debate, however, it is a true theorem.

  5. Population genetics - Wikipedia

    en.wikipedia.org/wiki/Population_genetics

    Population genetics is a subfield of genetics that deals with genetic differences within and among populations, and is a part of evolutionary biology. Studies in this branch of biology examine such phenomena as adaptation , speciation , and population structure .

  6. Moran process - Wikipedia

    en.wikipedia.org/wiki/Moran_process

    The probability that A reaches fixation is called fixation probability. For the simple Moran process this probability is x i = ⁠ i / N ⁠ . Since all individuals have the same fitness, they also have the same chance of becoming the ancestor of the whole population; this probability is ⁠ 1 / N ⁠ and thus the sum of all i probabilities ...

  7. Models of DNA evolution - Wikipedia

    en.wikipedia.org/wiki/Models_of_DNA_evolution

    A number of different Markov models of DNA sequence evolution have been proposed. [1] These substitution models differ in terms of the parameters used to describe the rates at which one nucleotide replaces another during evolution.

  8. Posterior probability - Wikipedia

    en.wikipedia.org/wiki/Posterior_probability

    Posterior probability is a conditional probability conditioned on randomly observed data. Hence it is a random variable. For a random variable, it is important to summarize its amount of uncertainty. One way to achieve this goal is to provide a credible interval of the posterior probability. [11]

  9. Mendelian inheritance - Wikipedia

    en.wikipedia.org/wiki/Mendelian_inheritance

    Mendelian inheritance (also known as Mendelism) is a type of biological inheritance following the principles originally proposed by Gregor Mendel in 1865 and 1866, re-discovered in 1900 by Hugo de Vries and Carl Correns, and later popularized by William Bateson. [1]