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Tajima's D is a population genetic test statistic created by and named after the Japanese researcher Fumio Tajima. [1] Tajima's D is computed as the difference between two measures of genetic diversity: the mean number of pairwise differences and the number of segregating sites, each scaled so that they are expected to be the same in a neutrally evolving population of constant size.
Fumio Tajima was born in Ōkawa, in Japan's Fukuoka prefecture, in 1951. [1] [2] He graduated from high school in 1970, completed his undergraduate degree at Kyushu University in 1976, and received a Master's degree from the same institution in 1978. [3]
An SDRF file is a tab-delimited file describing the relationships between samples, arrays, data, and other objects used or produced in a microarray investigation. For simple experimental designs, constructing the SDRF file is straightforward, and even complex loop designs can be expressed in this format.
Other export options include the current timetree calibrations, analysis summary, partition list, and pairwise distances. [40] The tree explorer also provide options to save the current tree display in an image format or to the clipboard under the image menu option. The image format supported are BMP, PNG, PDF, SVG, TIFF, and EMF. [41]
Download the data dump using a BitTorrent client (torrenting has many benefits and reduces server load, saving bandwidth costs). pages-articles-multistream.xml.bz2 – Current revisions only, no talk or user pages; this is probably what you want, and is over 19 GB compressed (expands to over 86 GB when decompressed).
Biodiversity informatics is the application of informatics techniques to biodiversity information, such as taxonomy, biogeography or ecology.It is defined as the application of Information technology technologies to management, algorithmic exploration, analysis and interpretation of primary data regarding life, particularly at the species level organization. [1]
Fay and Wu's H is a statistical test created by and named after two researchers Justin Fay and Chung-I Wu. [1] The purpose of the test is to distinguish between a DNA sequence evolving randomly ("neutrally") and one evolving under positive selection.
Tajima's D is based on the expectation that S = theta * x where x is the sum of 1/i for i from 1 to N. Thus, we turn this into a method to estimate theta by noting that theta = E(S)/x. The current version suggests that S/x part is a "normalized" version of segregating sites, and this leads to a mistake in the calculation of D in the example.