What is it about?
Metagenomics has transformed our understanding of microbial communities, but analyzing the vast amount of sequencing data requires specialized bioinformatics tools. This chapter provides a comprehensive overview of the computational tools and workflows used in metagenomic analysis, with a focus on the Galaxy Metagenomics platform.
Featured Image
Photo by Steve A Johnson on Unsplash
Why is it important?
It highlights Galaxy Metagenomics and other widely used tools for quality control, sequence assembly, taxonomic classification, functional annotation, and data visualization, enabling accurate, reproducible, and user-friendly analysis of complex microbial sequencing datasets.
Perspectives
Advances in sequencing technologies, artificial intelligence, cloud computing, and multi-omics integration will continue to transform metagenomic analysis. Future bioinformatics platforms are expected to become more automated, scalable, and accessible, enabling faster, reproducible, and clinically relevant insights into microbial communities, thereby advancing precision medicine, environmental monitoring, agriculture, and biotechnology.
Ankit Singh Negi
Read the Original
This page is a summary of: Bioinformatics Tools for Metagenomic Analysis, April 2026, Bentham Science Publishers,
DOI: 10.2174/9798898814502126010008.
You can read the full text:
Contributors
The following have contributed to this page







