Figure 2From: A Hidden Markov Model for identifying essential and growth-defect regions in bacterial genomes from transposon insertion sequencing dataHidden Markov Model architecture. (A) Diagram of the fully connected HMM structure. From left to right, the states represent read counts of increasing magnitude (essential, growth-defects, non-essential, and growth-advantage). (B) Diagram of the state transitions (from qi-2 to qi+13) and their corresponding emissions (i.e. read counts). A transition is made from the non-essential state to the essential state at time i+1, as the essential state is most likely to explain the consecutive observations of no insertions (from qi+1 to qi+12).Back to article page