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Erschienen in:
2020 | OriginalPaper | Buchkapitel
Efficient and Accurate Inference of Microbial Trajectories from Longitudinal Count Data
verfasst von : Tyler A. Joseph, Amey P. Pasarkar, Itsik Pe’er
Erschienen in: Research in Computational Molecular Biology
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Abstract
The human body is home to trillions of microbial cells that play an essential role in health and disease [2]. The gut microbiome, for instance, is responsible for a variety of normal physiological processes such as the regulation of immune response and breakdown of xenobiotics [3]. Disturbances in gut communities have been associated with several diseases, notably obesity [7] and colitis [8]. Moreover, changes to the vaginal microbiome during pregnancy are associated with risk of preterm birth [4]. Consequently, investigating the human microbiome can provide insight into biological processes and the etiology of disease.