The forward algorithm is a dynamic programming technique used in computational biology for calculating the likelihood of observing a sequence of events given a hidden Markov model (HMM). This algorithm systematically computes probabilities by iterating through the possible states and transitions, making it particularly useful for tasks like gene prediction and sequence alignment, where hidden states must be inferred from observable data.
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