Sample Input
Dna = "CGCCCCTCTCGGGGGTGTTCAGTAAACGGCCA", "GGGCGAGGTATGTGTAAGTGCCAAGGTGCCAG", "TAGTACCGAGACCGAAAGAAGTATACAGGCGT", "TAGATCAAGTTTCAGGTGCACGTCGGTGAACC", "AATCCACCAGCTCCACGTGCAATGTTGGCCTA"
k = 8, t = 5, N = 100
Sample Output
The Gibbs Sampler is a Markov Chain Monte Carlo algorithm for generating a sequence of samples from the joint probability distribution of two or more random variables. This visualization demonstrates the steps involved in the Gibbs Sampler algorithm and shows how it may converge to different solutions when run multiple times from different random starting points.