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  2. Masatoshi Nei - Wikipedia

    en.wikipedia.org/wiki/Masatoshi_Nei

    Masatoshi Nei was born in 1931 Japan, and his lifelong interest in biology and genetics may have its roots in his upbringing on a farm, in a family of farmers. [1] After completing his undergraduate and doctorate degrees in Japan, Nei emigrated to the United States in 1969. [ 1 ]

  3. Neighbor joining - Wikipedia

    en.wikipedia.org/wiki/Neighbor_joining

    In bioinformatics, neighbor joining is a bottom-up (agglomerative) clustering method for the creation of phylogenetic trees, created by Naruya Saitou and Masatoshi Nei in 1987. [1] Usually based on DNA or protein sequence data, the algorithm requires knowledge of the distance between each pair of taxa (e.g., species or sequences) to create the ...

  4. Genetic distance - Wikipedia

    en.wikipedia.org/wiki/Genetic_distance

    Nei's D A distance was created by Masatoshi Nei, a Japanese-American biologist in 1983. This distance assumes that genetic differences arise due to mutation and genetic drift , but this distance measure is known to give more reliable population trees than other distances particularly for microsatellite DNA data.

  5. Molecular Evolutionary Genetics Analysis - Wikipedia

    en.wikipedia.org/wiki/Molecular_Evolutionary...

    MEGA offers several approaches for testing substitution pattern homogeneity, such as composition distance, disparity index, and Monte Carlo tests. These methods are used to determine if different genetic regions evolved under the same selective pressure. Computation distance measures the variation in nucleotide composition between two sequences.

  6. Minimum evolution - Wikipedia

    en.wikipedia.org/wiki/Minimum_evolution

    Minimum evolution is a distance method employed in phylogenetics modeling. It shares with maximum parsimony the aspect of searching for the phylogeny that has the shortest total sum of branch lengths.

  7. Models of DNA evolution - Wikipedia

    en.wikipedia.org/wiki/Models_of_DNA_evolution

    When measuring time in substitutions (=1) only 8 free parameters remain. In general, to compute the number of parameters, one must count the number of entries above the diagonal in the matrix, i.e. for n trait values per site n 2 − n 2 {\displaystyle {{n^{2}-n} \over 2}} , and then add n for the equilibrium base frequencies, and subtract 1 ...

  8. Nucleotide diversity - Wikipedia

    en.wikipedia.org/wiki/Nucleotide_diversity

    Nucleotide diversity is a measure of genetic variation. It is usually associated with other statistical measures of population diversity, and is similar to expected heterozygosity . This statistic may be used to monitor diversity within or between ecological populations, to examine the genetic variation in crops and related species, [ 3 ] or to ...

  9. Genetic studies on Sinhalese - Wikipedia

    en.wikipedia.org/wiki/Genetic_studies_on_Sinhalese

    Genetic distance analysis by Roychoudhury AK et al. (1985) suggested the Sinhalese are more closely related to South and West Indian populations, than the Bengalis. [9] Genetic distance analysis by Kirk (1976) suggested the Sinhalese are closer to the Tamils and Keralites of South India, than they are to the populations in Gujarat or the Panjab ...