global allignment

Global alignment is a type of sequence alignment used in bioinformatics to compare two or more DNA, RNA or protein sequences. It involves aligning the entire length of the sequences being compared, such that gaps may be introduced in order to maximize the similarity between the sequences. This type of alignment is used to identify regions of high similarity or homology between sequences, and can reveal evolutionary relationships between different organisms or proteins. Global alignment is typically performed using dynamic programming algorithms such as the Needleman-Wunsch algorithm, which can efficiently calculate the optimal alignment of two sequences.