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Figure 2 | BMC Bioinformatics

Figure 2

From: A Hidden Markov Model for identifying essential and growth-defect regions in bacterial genomes from transposon insertion sequencing data

Figure 2

Hidden 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).

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