Abstract
The human microbiome consists of trillions of microorganisms that inhabit various parts of the human body, playing a crucial role in health and disease. Bioinformatics has become an essential tool in studying the human microbiome, enabling the analysis of large-scale genomic, transcriptomic, and metabolomic data. This article explores the bioinformatics methods and tools used to study the human microbiome, including metagenomics, 16S rRNA sequencing, and functional genomics. We discuss how bioinformatics helps identify microbial species, understand microbial community dynamics, and uncover their roles in disease and health. We also address the challenges in microbiome data analysis and the future directions in microbiome research
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