Multiple Sequence Alignment

Multiple sequence alignment (MSA) is a computational technique used to arrange sequences of DNA, RNA, or protein to identify regions of similarity that may indicate functional, structural, or evolutionary relationships. Current research focuses on improving MSA generation and leveraging MSA information within advanced models like transformers and generative language models to enhance tasks such as protein structure prediction, protein design, and phylogenetic analysis. These advancements are significantly impacting fields like bioinformatics and genomics by improving the accuracy and efficiency of various analyses, ultimately leading to a deeper understanding of biological systems and accelerating the development of new biotechnologies.