Tajima's D statistics explained in a 9 minutes lecture.

Tajima’s D is a statistical test used to distinguish between a DNA sequence evolving randomly or neutrally and one evolving under a non- random process, such as directional or balancing selection, demographic expansion or contraction, genetic hitchhiking or introgression. Created by and named after the Japanese evolutionary biologist Fumio Tajima, this test is very useful to reject the null- hipotesis that a given DNA sequence evolved randomly.

More than thousand words, the video I am sharing with you will help to understand how this algorithm works. A short, clear and very effective lecture held by Mohamed Noor, professor at the Duke University that will be really explanatory.

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