Sequence Alignment is a computational method used to identify similarities and differences between biological sequences, such as DNA, RNA, or proteins. By aligning sequences, researchers can determine evolutionary relationships, functional similarities, and structural features. There are two main types of sequence alignment: global alignment, which compares entire sequences, and local alignment, which focuses on finding the best matching subsequences. Various algorithms, like Needleman-Wunsch for global alignment and Smith-Waterman for local alignment, are employed to optimize these comparisons and provide meaningful insights into biological data.