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Rob Knight

Researcher at University of California, San Diego

Publications -  1188
Citations -  322479

Rob Knight is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Microbiome & Biology. The author has an hindex of 201, co-authored 1061 publications receiving 253207 citations. Previous affiliations of Rob Knight include Anschutz Medical Campus & University of Sydney.

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Global patterns in bacterial diversity

TL;DR: The most comprehensive analysis of the environmental distribution of bacteria to date, based on 21,752 16S rRNA sequences compiled from 111 studies of diverse physical environments, is reported in this article.
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UniFrac--an online tool for comparing microbial community diversity in a phylogenetic context.

TL;DR: Analysis of previously published sequences from the Columbia river, its estuary, and the adjacent coastal ocean using the UniFrac interface provided insights that were not apparent from the initial data analysis, which used other commonly employed techniques to compare the communities.
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Worlds within worlds: evolution of the vertebrate gut microbiota

TL;DR: It is proposed that the recently initiated international Human Microbiome Project should strive to include a broad representation of humans, as well as other mammalian and environmental samples, as comparative analyses of microbiotas and their microbiomes are a powerful way to explore the evolutionary history of the biosphere.
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Multi-omics of the gut microbial ecosystem in inflammatory bowel diseases.

TL;DR: It is demonstrated that periods of disease activity were also marked by increases in temporal variability, with characteristic taxonomic, functional, and biochemical shifts, and integrative analysis identified microbial, biochemical, and host factors central to this dysregulation.
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Analysis of composition of microbiomes: a novel method for studying microbial composition.

TL;DR: The performance of ANCOM is illustrated using two publicly available microbial datasets in the human gut, demonstrating its general applicability to testing hypotheses about compositional differences in microbial communities and accounting for compositionality using log-ratio analysis results in significantly improved inference in microbiota survey data.