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View it differently: finding groups in microbiome data
Last modified: 2023-05-31
Abstract
Microbiota plays a crucial role in human health. Recently, NGS technologies have enabled the exploration of the microbiome without isolation and culturing. However, analyzing and translating microbiome data into meaningful biological insights is challenging due to the data's compositional nature, high dimensionality, sparseness, and over-dispersion. The gut microbiome can vary from individual to individual, and microbiome communities can be grouped to identify community types linked to environmental or health conditions. Different data features, such as individual profiles, community-based descriptors, or genera interactions within a community, provide different perspectives on microbiome complexity. Combining these perspectives could lead to a more comprehensive understanding of microbiome data.