R
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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Journal ArticleDOI
Impact of training sets on classification of high-throughput bacterial 16s rRNA gene surveys.
Jeffrey J. Werner,Omry Koren,Philip Hugenholtz,Todd Z. DeSantis,William A. Walters,J. Gregory Caporaso,Largus T. Angenent,Rob Knight,Rob Knight,Ruth E. Ley +9 more
TL;DR: Phylogenetic clusters of previously unclassified experimental sequences were identified with notable improvements, and Phylotypes unclassified at the genus level represented a greater proportion of the total community variation than classified operational taxonomic units in mouse gut and anaerobic digester samples, underscoring the need for greater diversity in existing reference databases.
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Forensic identification using skin bacterial communities
TL;DR: A series of studies introduces a forensics approach that could eventually be used to independently evaluate results obtained using more traditional forensic practices, and can use a high-throughput pyrosequencing-based approach to quantitatively compare the bacterial communities on objects and skin to match the object to the individual with a high degree of certainty.
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Microbiota and Host Nutrition across Plant and Animal Kingdoms
Stéphane Hacquard,Ruben Garrido-Oter,Ruben Garrido-Oter,Antonio Gonzalez,Stijn Spaepen,Gail Ackermann,Sarah L. Lebeis,Alice C. McHardy,Alice C. McHardy,Jeffrey L. Dangl,Rob Knight,Ruth E. Ley,Paul Schulze-Lefert +12 more
TL;DR: It is shown that there is no overlap of abundant bacterial taxa between the microbiotas of the mammalian gut and plant roots, whereas taxa overlap does exist between fish Gut and plant root communities.
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Regional variation limits applications of healthy gut microbiome reference ranges and disease models.
Yan He,Wei Wu,Wei Wu,Hui-Min Zheng,Pan Li,Daniel McDonald,Hua-Fang Sheng,Mu-Xuan Chen,Zihui Chen,Guiyuan Ji,Zhong-Dai-Xi Zheng,Prabhakar Mujagond,Xiaojiao Chen,Zu-Hua Rong,Peng Chen,Li-Yi Lyu,Xian Wang,Chong-Bin Wu,Nan Yu,Yanjun Xu,Jia Yin,Jeroen Raes,Jeroen Raes,Rob Knight,Wenjun Ma,Hongwei Zhou +25 more
TL;DR: To understand the generalizability of microbiota-based diagnostic models of metabolic disease, the gut microbiota was characterized of 7,009 individuals from 14 districts within 1 province in China and among phenotypes, host location showed the strongest associations with microbiota variations.
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Microbiome analyses of blood and tissues suggest cancer diagnostic approach
Gregory D. Poore,Evguenia Kopylova,Qiyun Zhu,Carolina S. Carpenter,Serena Fraraccio,Stephen Wandro,Tomasz Kosciolek,Tomasz Kosciolek,Stefan Janssen,Stefan Janssen,Jessica L. Metcalf,Se Jin Song,Jad N. Kanbar,Sandrine Miller-Montgomery,Robert K. Heaton,Rana R. McKay,Sandip Pravin Patel,Austin D. Swafford,Rob Knight +18 more
TL;DR: Microbial nucleic acids are detected in samples of tissues and blood from more than 10,000 patients with cancer, and machine learning is used to show that these can be used to discriminate between and among different types of cancer, suggesting a new microbiome-based diagnostic approach.