Automated evaluation of multiple sequence alignment methods to handle third generation sequencing errors

• Published in: PeerJ (San Francisco, CA) Vol. 12
• Main Authors: Rohmer, Coralie, Touzet, Hélène, Limasset, Antoine
• Format: Journal Article
• Language: English
• Published: PeerJ 20.09.2024
• Subjects: Computer Science; Life Sciences; Subjects Bioinformatics; Oxford nanopore; Multiple sequence alignment; Sequencing errors; Pacific bioscience; Benchmark; Subjects Bioinformatics Computational Biology Long reads Multiple sequence alignment Sequencing errors Heterozygosity Pacific bioscience Oxford nanopore Benchmark; Computational Biology Long reads; Heterozygosity

Most third-generation sequencing (TGS) processing tools rely on multiple sequence alignment (MSA) methods to manage sequencing errors. Despite the broad range of MSA approaches available, a limited selection of implementations are commonly used in practice for this type of application, and no compre...