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ToPS: A Framework to Manipulate Probabilistic Models of Sequence Data

Figure 4

GHMM architecture for eukaryotic protein-coding gene prediction.

is a state for representing an initial exon that ends at phase . is a state for representing an internal exon that begins at phase and ends at phase . is a state for representing a terminal exon that begins at phase . is a state for representing an intron at phase . is a state for representing intergenic regions. is a state for representing the start codon signal. is a state for representing the stop codon signal. is a state for representing acceptor splice site signal at phase . is a state for representing the donor splice site signal at phase . To model the reverse strand, we used the states that begin with the prefix ‘r-’. Squares with a self-transition represent states with geometric duration distribution. Squares without a self-transition represent states with a non-geometric duration distribution. Ellipses represent states with fixed-length durations.

Figure 4

doi: https://doi.org/10.1371/journal.pcbi.1003234.g004