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James Gaffney

Researcher at University of California, San Diego

Publications -  17
Citations -  1340

James Gaffney is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Metagenomics & Medicine. The author has an hindex of 9, co-authored 12 publications receiving 806 citations. Previous affiliations of James Gaffney include University of Colorado Boulder.

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Journal ArticleDOI

American Gut: an Open Platform for Citizen Science Microbiome Research.

Daniel McDonald, +64 more
TL;DR: The utility of the living data resource and cross-cohort comparison is demonstrated to confirm existing associations between the microbiome and psychiatric illness and to reveal the extent of microbiome change within one individual during surgery, providing a paradigm for open microbiome research and education.
Journal ArticleDOI

Evolutionary trends in host physiology outweigh dietary niche in structuring primate gut microbiomes.

TL;DR: The findings indicate that mammalian gut microbiome plasticity in response to dietary shifts over both the lifespan of an individual host and the evolutionary history of a given host species is constrained by host physiological evolution, and the gut microbiome cannot be considered separately from host physiology when describing host nutritional strategies and the emergence of host dietary niches.
Posted ContentDOI

American Gut: an Open Platform for Citizen-Science Microbiome Research

Daniel McDonald, +65 more
- 07 Mar 2018 - 
TL;DR: It is shown that a citizen-science, self-selected cohort shipping samples through the mail at room temperature recaptures many known microbiome results from clinically collected cohorts and reveals new ones, and that the extent of microbiome change after events such as surgery can exceed differences between distinct environmental biomes.
Journal ArticleDOI

DNA extraction for streamlined metagenomics of diverse environmental samples.

TL;DR: An extraction pipeline is identified that dramatically reduces sample processing time without sacrificing bacterial taxonomic or abundance information in the shortest amount of time.