Tag: Functional profiling

Metagenomic statistical analysis helps researchers compare microbial communities, identify differentially abundant taxa and genes, analyze diversity, evaluate associations, and interpret functional and genomic patterns. Learn the key statistical methods, challenges, and best practices for reliable metagenomic analysis.

Metagenomic functional annotation assigns potential biological functions to genes identified in microbial communities. Learn how functional annotation works, the role of databases and protein domains, metabolic pathway analysis, specialized gene annotation, applications, and limitations.

Metagenomic gene prediction identifies potential protein-coding genes and genomic features within metagenomic sequences and reconstructed microbial genomes. Learn how gene prediction works, how gene catalogs are created, major methods, challenges, and applications in functional metagenomics.

Metagenomic functional profiling reveals the genes, metabolic pathways, and biological capabilities encoded within microbial communities. Learn about gene prediction, functional annotation, pathway analysis, abundance estimation, antimicrobial resistance, genome-resolved analysis, applications, and limitations.

Shotgun metagenomics sequences DNA from across microbial genomes to reveal community composition, genes, metabolic pathways, and functional potential. Explore its workflow, applications, advantages, and limitations.