The human microbiome, a complex and dynamic ecosystem of microorganisms, plays a crucial role in health and disease. Understanding its dynamics is essential for developing targeted therapies and diagnostic tools. This thesis investigates the universality of human microbiome dynamics, with a particular emphasis on Dissimilarity Overlap Analysis (DOA), a novel analytical approach designed to elucidate the underlying patterns and transitions within microbial communities. By applying DOA, we quantify the extent of similarity and divergence across temporal and spatial microbiome samples, providing insights into the stability, resilience, and perturbation responses of microbial ecosystems.

Universality of Human Microbiome Dynamics

HASHEMI TAKLIMI, SEYEDEHMARYAM
2023/2024

Abstract

The human microbiome, a complex and dynamic ecosystem of microorganisms, plays a crucial role in health and disease. Understanding its dynamics is essential for developing targeted therapies and diagnostic tools. This thesis investigates the universality of human microbiome dynamics, with a particular emphasis on Dissimilarity Overlap Analysis (DOA), a novel analytical approach designed to elucidate the underlying patterns and transitions within microbial communities. By applying DOA, we quantify the extent of similarity and divergence across temporal and spatial microbiome samples, providing insights into the stability, resilience, and perturbation responses of microbial ecosystems.
2023
Universality of Human Microbiome Dynamics
Data Analysis
Data Modeling
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/74195