DFSC Applet

The DFSC applet can perform tests of Tajima's D, and Fu and Li's D, F, D*, and F* tests of evolutionary neutrality under varying assumptions about population history.

The applet requires that you enter seven parameters:

i = Iterations. The number of simulations to run in performing the test (DEFAULT is 1000).

S = Segregating sites. The number of variable nucleotide positions in your sample.

d = Mean pairwise difference. The mean pairwise number of differences between sequences randomly chosen from your sample

s = Singletons. The number of variable positions in your sample where the derived variant is observed just once.

theta = Theta (=2Nu). The theta value in the ancient population, where ancient population size (N) is measured in chromosomes and mutation rate (u) is the infinite sites rate, per generation.

tau = Tau (=2ut). The time of population size change, where u is the infinite sites mutation rate per generation and t is generations before present.

growth = Growth factor. The magnitude by which the ancient population expanded at time tau. For example, a value of 100 indicates that the modern population is 100 times larger than the ancient population.

Look in the DFSC README file for example data and analyses.