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Abstract: Multiple sequence alignment plays a crucial role in identifying evolutionary patterns and functional motifs, finding application in various fields such as genomics, phylogenetics, virology, ...

Multiple sequence alignment (MSA) is a cornerstone of computational biology, facilitating the exploration of functional, structural and evolutionary relationships among biological sequences.

The reliability of multiple sequence alignment (MSA) results directly determines the credibility of the conclusions drawn from biological research. However, MSA is inherently an NP-hard problem, ...

The EMBL File Format Converter is a specialized tool that converts biological sequence data from the EMBL format to various standard formats. It streamlines bioinformatics workflows by accurately ...

Our STOCKHOLM File Format Converter is a specialized bioinformatics utility designed to improve interoperability among multiple sequence alignments (MSAs). This tool expertly converts alignments from ...

ABSTRACT: The VMamba (Visual State Space Model) is built upon the Mamba model by stacking Visual State Space (VSS) modules and utilizing the 2D Selective Scan (SS2D) module to extend the original ...

ABSTRACT: Genomic surveillance has proven to be a critical source of information for understanding and responding to the COVID-19 pandemic. In Africa, genomic surveillance was very limited, and few ...

This is a simple implementation of a Multiple Sequence Alignment (MSA) program by using a progressive aligner and consensus sequences as profile-profile technique.