Published: Jan. 10, 2024

Microbiomes, comprised of diverse microbial species and viruses, play pivotal roles in human health, environmental processes, biotechnological applications interact with themselves, their environment, hosts via metabolites signaling molecules. Our understanding microbiomes is still limited hampered by complexity. A concept improving this systems biology, which focuses on the holistic description biological utilizing experimental computational methods. An important set such methods are metaomics analyze output lists molecular features. These data integrated, interpreted, compiled into microbiome models, to predict, optimize, control behavior. There exists a gap between microbiologists modelers/bioinformaticians, stemming from lack interdisciplinary knowledge. This knowledge hinders establishment models analysis. review aims bridge tailored for microbiologists, researchers new modeling, bioinformaticians. To achieve goal, it provides an overview starting fundamental microbiomes, metagenomics methods, modeling formalisms. Furthermore, explains model building, examples prediction, optimization, control. It concludes guidelines, software, repositories modeling. Each section entry-level information, serving as valuable resource comprehending navigating complex landscape research

Language: Английский