True or False Hidden Markov Models (HMMs) are a class of probabilistic models that have been widely used in gene prediction programs, including GENSCAN, FGENESH, and AUGUSTUS.
T
True.
HMMs are widely used in gene prediction programs for their ability to model sequences as a series of states. HMMs use observations to estimate parameters for different states and their transition probabilities. This allows them to predict the most likely sequence of states given the input sequence. Many gene prediction programs, including GENSCAN, FGENESH, and AUGUSTUS, use HMMs to identify coding regions within DNA sequences.
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