In Day 3 of 12 days of Biopython, I am going to show you how to do global and local pairwise alignment between two different sequences with different matching scores and gap penalties. I will show you all the different functions for alignment from pairwise2 and all the parameter combinations for the scoring system and gap penalties. Chapters: 0:00 Intro 0:11 What is pairwise sequence alignment? 1:00 Global vs local pairwise alignments 1:29 Match score and gap penalty 1:51 Biopython pairwise2 2:36 Parameters for match scoring 3:14 Parameters for gap penalties 4:04 globalxx example - no gap penalty, default match scoring, 1 for matches, 0 mismatches 5:36 globalmx example - no gap penalty and custom match scoring 6:45 globalxs. example - default match scoring and custom get penalty for open gap and extended gap 7:40 globaldx example for protein alignment sequence using blosum62 matrix for scoring matches 8:25 globalmc example - defining function for gap penalties 9:37 Learn more about pairwise sequence alignments 9:54 Outro You can link to the Github code here. My videos are aimed at everyone interested in Computer Science applications in biology. The mission is to simplify Bioinformatics concepts, one video at a time! Follow me on Twitter.