AMAS: a fast tool for alignment manipulation and computing of summary statistics.

Area of Science:

• Bioinformatics
• Computational Biology
• Phylogenetics

Background:

• Genomic datasets in phylogenetics are rapidly increasing in size.
• Modern phylogenomic studies require efficient tools for analyzing numerous loci and taxa.
• Existing tools may lack the computational efficiency for handling large-scale alignment data.

Purpose of the Study:

• Introduce AMAS (Alignment Manipulation And Summary), a versatile tool for bioinformatics.
• Provide a computationally efficient solution for manipulating and summarizing large sequence alignments.
• Facilitate phylogenomic analyses by offering robust data handling capabilities.

Main Methods:

• AMAS is a command-line utility and Python package.
• It processes both amino acid and nucleotide alignments.
• Key functions include format conversion, concatenation, data splitting, and statistical calculations.

Main Results:

• AMAS efficiently handles very large alignments (hundreds of taxa, thousands of loci).
• It outperforms other tools in concatenation speed.
• The tool provides comprehensive statistics on alignment properties, including missing data and site variability.

Conclusions:

• AMAS is a valuable, computationally efficient tool for modern phylogenomic research.
• Its ability to handle large datasets and perform complex manipulations simplifies data analysis.
• The tool is accessible, with no external dependencies, and available as open-source software.