I am an agricultural genomics master student, and we are doing genome annotation using linux terminal portal,while preparing for that, I have read in the lecture about Markov Chain, and I find myself lost at what it means, what is its use, hopefully you can help me understand it in a simpler way, perhaps.
A good intro can be found here: https://www.cs.huji.ac.il/course/2006/cbio/Scribes/lect14-assaf/lect14.pdf (in the context of motif finding, should be relevant).
The main concept of MC is that there is a series of random variables which depend only on the value of the previous variable, it can be used to describe complex systems with a small set of parameters which are called transition probabilities (if the assumption that the value of a random variable depends only on the previous one holds).
What about them do you not understand?