scispace - formally typeset
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.

Papers
More filters
Journal ArticleDOI

Metagenomics-Based, Strain-Level Analysis of Escherichia coli From a Time-Series of Microbiome Samples From a Crohn's Disease Patient.

TL;DR: In conclusion, inflammation status (assessed by the blood C-reactive protein and stool calprotectin) is likely correlated with the abundance of a subgroup of E. coli strains with specific traits, and strain-level time-series analysis of dominant E.ccoli strains in a CD patient is highly informative, and motivates a study of a larger cohort of IBD patients.
Journal ArticleDOI

Gut microbiome in Schizophrenia: Altered functional pathways related to immune modulation and atherosclerotic risk.

TL;DR: Functional pathways related to trimethylamine-N-oxide reductase and Kdo2-lipid A biosynthesis were altered in schizophrenia and were associated with inflammatory cytokines and risk for coronary heart disease in schizophrenia.
Journal ArticleDOI

Challenges in the construction of knowledge bases for human microbiome-disease associations.

TL;DR: The existing tools and development efforts to capture portions of the information needed to construct a KB of all known human microbiome-disease associations are surveyed and the need for additional innovations in natural language processing, text mining, taxonomic representations, and field-wide vocabulary standardization in human microbiome research is highlighted.
Journal ArticleDOI

redbiom: a Rapid Sample Discovery and Feature Characterization System

TL;DR: Redbiom is introduced, a microbiome caching layer, which allows users to rapidly query samples that contain a given feature, retrieve sample data and metadata, and search for samples that match specified metadata values or ranges using an in-memory NoSQL database called Redis.
Journal ArticleDOI

Digitizing mass spectrometry data to explore the chemical diversity and distribution of marine cyanobacteria and algae.

TL;DR: Untargeted mass spectrometry approaches were applied to capture the chemical space and dispersal patterns of metabolites from an in-house library of marine cyanobacterial and algal collections, supporting the hypothesis that marine Cyanobacteria and algae possess distinctive metabolomes.