SaAlign: Multiple DNA/RNA sequence alignment and phylogenetic tree construction tool for ultra-large datasets and ultra-long sequences based on suffix array

• Published in: Computational and structural biotechnology journal Vol. 20; pp. 1487 - 1493
• Main Authors: Wang, Ziyuan, Tan, Junjie, Long, Yanling, Liu, Yijia, Lei, Wenyan, Cai, Jing, Yang, Yi, Liu, Zhibin
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.01.2022; Research Network of Computational and Structural Biotechnology; Elsevier
• Subjects: algorithms; Alignment; bioinformatics; biotechnology; computer software; data collection; DNA; mitochondrial genome; nucleotide sequences; Phylogenetic tree; phylogeny; sequence alignment; Sequence analysis; species; Suffix array; Alignment; Phylogenetic tree; MSA; DP; LCS; Sequence analysis; SA; Suffix array; MSA, Multiple sequence alignment; DP, Dynamic programming; SA, Suffix array; LCS, Longest common subsequence
• ISSN: 2001-0370; 2001-0370
• DOI: 10.1016/j.csbj.2022.03.018

[Display omitted] Multiple DNA/RNA sequence alignment is an important fundamental tool in bioinformatics, especially for phylogenetic tree construction. With DNA-sequencing improvements, the amount of bioinformatics data is constantly increasing, and various tools need to be iterated constantly. Mitochondrial genome analyses of multiple individuals and species require bioinformatics software; therefore, their performances need to be optimized. To improve the alignment of ultra-large datasets and ultra-long sequences, we optimized a dynamic programming algorithm using longest common substring methods. Ultra-large test DNA datasets, containing sequences of different lengths, some over 300 kb (kilobase), revealed that the Multiple DNA/RNA Sequence Alignment Tool Based on Suffix Tree (SaAlign) saved time and computational space. It outperformed the existing technical tools, including MAFFT and HAlign-II. For mitochondrial genome datasets having limited numbers of sequences, MAFFT performed the required tasks, but it could not handle ultra-large mitochondrial genome datasets for core dump error. We implement a multiple DNA/RNA sequence alignment tool based on Center Star strategy and use suffix array algorithm to optimize the spatial and time efficiency. Nowadays, whole-genome research and NGS technology are becoming more popular, and it is necessary to save computational resources for laboratories. That software is of great significance in these aspects, especially in the study of the whole-mitochondrial genome of plants.