The alignment of two or more biological sequences is one of the main workhorses in bioinformatics because it can quantify similarity and reveal conserved patterns. We provided a differential version of the two most popular algorithms for sequence alignment: the Needleman–Wunsch and Smith-Waterman algorithms. Using ChainRulesCore.jl, the gradients can be used directly in combination with bioinformatics and machine learning libraries.