ggmsa: a visual exploration tool for multiple sequence alignment and associated data

• Published in: Briefings in bioinformatics Vol. 23; no. 4
• Main Authors: Zhou, Lang, Feng, Tingze, Xu, Shuangbin, Gao, Fangluan, Lam, Tommy T, Wang, Qianwen, Wu, Tianzhi, Huang, Huina, Zhan, Li, Li, Lin, Guan, Yi, Dai, Zehan, Yu, Guangchuang
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 18.07.2022; Oxford Publishing Limited (England)
• Subjects: Alignment; Amino acid sequence; Conserved sequence; Genomes; Knowledge representation; Logos; Molecular biology; Molecular structure; Nucleotide sequence; Nucleotides; Phenotypes; Recombination; Structure-function relationships; Visualization; phylogeny; sequence recombination; sequence bundle; multiple sequence alignment

Abstract The identification of the conserved and variable regions in the multiple sequence alignment (MSA) is critical to accelerating the process of understanding the function of genes. MSA visualizations allow us to transform sequence features into understandable visual representations. As the seq...