Abstract
Personalized nutrition, the tailoring of dietary recommendations based on an individual’s genetic makeup, lifestyle, and health data, is gaining momentum in the field of nutrition science. Bioinformatics plays a critical role in analyzing the vast amounts of genomic, transcriptomic, metabolomic, and other omics data to develop individualized nutrition strategies. This article explores bioinformatics approaches for personalized nutrition, focusing on how genomic data can inform dietary recommendations, the role of microbiome analysis in nutrition, and the integration of multi-omics data for creating personalized nutrition plans. We also discuss the challenges and future directions in this emerging field
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