Lecture
This lecture covers the concepts of random walks and the Moran model in population genetics, including selection, elimination, and reproduction. It also delves into bacterial chemotaxis, the influence of gradients of chemicals on bacterial movement, and the concept of chemotaxis. Furthermore, it explores entropy and information theory, discussing how to quantify randomness, information, and statistical dependence between random variables. The lecture concludes with topics such as identifying coevolving sites in interacting proteins, maximum entropy modeling of protein sequence data, and applications of maximum entropy modeling in protein sequences and neuroscience data.