Needleman–Wunsch Global Alignment: Scoring, Traceback, and Complexity
5 flashcards · 5 quiz questions · 5 match pairs · 5 fill-in sentences · English
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Summary
The Needleman–Wunsch algorithm finds an optimal global alignment between two sequences. This lesson introduces the problem it solves, the kinds of pairings an alignment can contain, and how a scoring system ranks candidate alignments.
Needleman–Wunsch compares two strings, commonly DNA, RNA, or protein sequences. A global alignment aims to align the sequences from beginning to end, allowing gaps when they help produce a better overall correspondence. The algorithm was developed by Saul B. Needleman and Christian D. Wunsch and published in 1970. It applies dynamic programming: it breaks a larger problem into smaller prefix-alignment problems and reuses their solutions.
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Based on the Wikipedia article Needleman–Wunsch algorithm, licensed CC BY-SA 4.0. Adapted into a summary, flashcards and quizzes.