Research on global double sequence alignment optimization algorithm based on dynamic programming

Biological sequence alignment is one of the most basic research topics in bioinformatics. The double sequence alignment algorithm based on dynamic programming mainly uses iterative algorithm and vacancy penalty rules to compare gene sequences one by one, calculate their similarity scores, and finally obtain the best alignment between sequences through backtracking analysis. This paper studies the analysis and implementation of the global double sequence alignment optimization algorithm based on dynamic programming.