Past exam of the mathematical and Computational Biology course of the University of Cambridge / 2024 / Paper 2 / C8 / b / Solution

def emission_counts(column):
    counts = Counter(str(x) for x in column if x != ".")
    n = sum(counts.values())
    if n == 0:
        raise ValueError("an all-gap column has no empirical emission distribution")
    return counts, n

match_emissions = {}
for state, j in enumerate(match_columns, 1):
    counts, n = emission_counts(A[:, j])
    match_emissions[state] = {aa: count/n for aa, count in counts.items()}
    print(state, j+1, match_emissions[state])