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Statistical Methods for Detecting Differentially Abundant Features in Clinical Metagenomic Samples
Authors:James Robert White   Niranjan Nagarajan     Mihai Pop
Abstract:Numerous studies are currently underway to characterize the microbial communities inhabiting our world. These studies aim to dramatically expand our understanding of the microbial biosphere and, more importantly, hope to reveal the secrets of the complex symbiotic relationship between us and our commensal bacterial microflora. An important prerequisite for such discoveries are computational tools that are able to rapidly and accurately compare large datasets generated from complex bacterial communities to identify features that distinguish them.
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