enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Silent mutation - Wikipedia

    en.wikipedia.org/wiki/Silent_mutation

    One silent mutation causes the dopamine receptor D2 gene to be less stable and degrade faster, underexpressing the gene. A silent mutation in the multidrug resistance gene 1 , which codes for a cellular membrane pump that expels drugs from the cell, can slow down translation in a specific location to allow the peptide chain to bend into an ...

  3. Mutation (evolutionary algorithm) - Wikipedia

    en.wikipedia.org/wiki/Mutation_(evolutionary...

    The classic example of a mutation operator of a binary coded genetic algorithm (GA) involves a probability that an arbitrary bit in a genetic sequence will be flipped from its original state. A common method of implementing the mutation operator involves generating a random variable for each bit in a sequence.

  4. Evolutionary programming - Wikipedia

    en.wikipedia.org/wiki/Evolutionary_programming

    Evolutionary programming is an evolutionary algorithm, where a share of new population is created by mutation of previous population without crossover. [ 1 ] [ 2 ] Evolutionary programming differs from evolution strategy ES( μ + λ {\displaystyle \mu +\lambda } ) in one detail. [ 1 ]

  5. Genetic programming - Wikipedia

    en.wikipedia.org/wiki/Genetic_programming

    Genetic programming (GP) is an evolutionary algorithm, an artificial intelligence technique mimicking natural evolution, which operates on a population of programs.It applies the genetic operators selection according to a predefined fitness measure, mutation and crossover.

  6. Computational phylogenetics - Wikipedia

    en.wikipedia.org/wiki/Computational_phylogenetics

    The most common model types are implicitly reversible because they assign the same weight to, for example, a G>C nucleotide mutation as to a C>G mutation. The simplest possible model, the Jukes-Cantor model , assigns an equal probability to every possible change of state for a given nucleotide base.

  7. Evolution strategy - Wikipedia

    en.wikipedia.org/wiki/Evolution_strategy

    When the mutation step is drawn from a multivariate normal distribution using an evolving covariance matrix, it has been hypothesized that this adapted matrix approximates the inverse Hessian of the search landscape. This hypothesis has been proven for a static model relying on a quadratic approximation.

  8. Multiple sequence alignment - Wikipedia

    en.wikipedia.org/wiki/Multiple_sequence_alignment

    Alignments highlight mutation events such as point mutations (single amino acid or nucleotide changes), insertion mutations and deletion mutations, and alignments are used to assess sequence conservation and infer the presence and activity of protein domains, tertiary structures, secondary structures, and individual amino acids or nucleotides.

  9. Gene expression programming - Wikipedia

    en.wikipedia.org/wiki/Gene_expression_programming

    An example of a chromosome with two genes, each of size 9, is the string (position zero indicates the start of each gene): 012345678012345678 L+a-baccd**cLabacd. where “L” represents the natural logarithm function and “a”, “b”, “c”, and “d” represent the variables and constants used in a problem.