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In a multidimensional search matrix, for aligning N sequences, an (N+2)-dimensional matrix is needed to be filled with alignment scores.

In a multidimensional search matrix, for aligning N sequences, an (N+2)-dimensional matrix is needed to be filled with alignment scores. Correct Answer False

In a multidimensional search matrix, for aligning N sequences, an N-dimensional matrix is needed to be filled with alignment scores. For instance, for three sequences, a three-dimensional matrix is required to account for all possible alignment scores. Back-tracking is applied through the three-dimensional matrix to find the highest scored path that represents the optimal alignment.

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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?
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.
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.