 Profile hidden Markov model

A profile hidden Markov model represents the position-dependent structure of a sequence alignment using an ordered series of match states and optional insertion states, commonly with silent deletion states as well. An emitting state chooses one character from its probability mass function; transitions describe which profile position comes next. If deletion states are forbidden, an alignment column containing gaps cannot be a compulsory match state.