In a Profile HMM, what specific biological information is captured by the 'match', 'insert', and 'delete' state transition probabilities?

A Profile Hidden Markov Model models a sequence alignment by representing each position in a consensus sequence with three distinct states that capture evolutionary divergence. Match states represent the conserved positions of a protein or DNA family, and their transition probabilities capture the likelihood that a specific residue is observe....