What is Markov Chain in Bioinformatics?

Learn Markov Chain definition in bioinformatics with explanation to study “What is Markov Chain”. Study markov chain explanation with bioinformatics terms to review bioinformatics course for online degree programs.

Markov Chain Definition

  • A process that moves in one direction from one state to the next with a certain probability.

    Essential Bioinformatics by Jin Xiong



Markov Chain Explanation

Markov chain is the mathematical model that tells about the transitions from one state to any other state with certain probabilistic rules. In other words, the next state is independent of that how the present state is achieved, the next states are fixed and depends on the rules.

Keep Learning Bioinformatics Explanations

What is Lineage?

In a phylogenetic tree, the path of branch that shows the relationship of ancestor and descendant is known as lineage. ...

What is System Biology?

The biological entities have highly organized, complex and integrated system, and the system of the biological organisms coordinate with each ...

What is Unsupervised Analysis?

The unsupervised analysis is an approach in which the elements of analysis are classified on the basis of similarity and ...

What is Phylogenetics?

Phylogenetics deals with the evolutionary history i.e. the divergence of organisms, common ancestor of species, of speciesand represent their pedigree ...

What is Zero Order Markov Model?

Zero-order Markov model is a stochastic model in which the probability of next state does not depend on previous state. ...

What is Hairpin Bulge?

The Hairpin-bulge loop is an RNA secondary structure in which loop residues of hairpin and bulge interact with each other. ...