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On analysis of the alignment scores of random sequences will reveal that the scores follow a different distribution than the normal distribution called the _________

On analysis of the alignment scores of random sequences will reveal that the scores follow a different distribution than the normal distribution called the _________ Correct Answer Gumbel extreme value distribution

Originally, the significance of sequence alignment scores was evaluated on the basis of the assumption that alignment scores followed a normal statistical distribution. If sequences are randomly generated in a computer by a Monte Carlo or sequence shuffling method, as in generating a sequence by picking marbles representing four bases or 20 amino acids out of a bag, the distribution may look normal at first glance. But on further analysis the above result was obtained.

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Who suggested that the global alignment scores between unrelated protein sequences followed the extreme value distribution, similar to local alignment scores? And when?
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The resulting tree is then used to guide the alignment of the most closely related sequences and groups of sequences. The resulting alignment is a global alignment produced by the Needleman-Wunsch algorithm.
Progressive alignment methods use the dynamic programming method to build an MSA starting with the most related sequences and then progressively adding less related sequences or groups of sequences to the initial alignment.
Given a multiple alignment of three sequences, the sum of scores is calculated as the sum of the dissimilarity scores of every pair of sequences at each position.