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Scott T. Kelley

Researcher at San Diego State University

Publications -  122
Citations -  69915

Scott T. Kelley is an academic researcher from San Diego State University. The author has contributed to research in topics: Microbiome & Metagenomics. The author has an hindex of 45, co-authored 116 publications receiving 55005 citations. Previous affiliations of Scott T. Kelley include University of Colorado Boulder & University of California, Berkeley.

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Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

Evan Bolyen, +123 more
- 01 Aug 2019 - 
TL;DR: QIIME 2 development was primarily funded by NSF Awards 1565100 to J.G.C. and R.K.P. and partial support was also provided by the following: grants NIH U54CA143925 and U54MD012388.
Journal ArticleDOI

Structure, function and diversity of the healthy human microbiome

Curtis Huttenhower, +253 more
- 14 Jun 2012 - 
TL;DR: The Human Microbiome Project Consortium reported the first results of their analysis of microbial communities from distinct, clinically relevant body habitats in a human cohort; the insights into the microbial communities of a healthy population lay foundations for future exploration of the epidemiology, ecology and translational applications of the human microbiome as discussed by the authors.
Journal Article

Structure, function and diversity of the healthy human microbiome

Curtis Huttenhower, +247 more
- 01 Jun 2012 - 
TL;DR: The Human Microbiome Project has analysed the largest cohort and set of distinct, clinically relevant body habitats so far, finding the diversity and abundance of each habitat’s signature microbes to vary widely even among healthy subjects, with strong niche specialization both within and among individuals.
Journal ArticleDOI

A framework for human microbiome research

Barbara A. Methé, +253 more
- 14 Jun 2012 - 
TL;DR: The Human Microbiome Project (HMP) Consortium has established a population-scale framework which catalyzed significant development of metagenomic protocols resulting in a broad range of quality-controlled resources and data including standardized methods for creating, processing and interpreting distinct types of high-throughput metagenomics data available to the scientific community as mentioned in this paper.