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William D. Shannon

Researcher at Washington University in St. Louis

Publications -  133
Citations -  41756

William D. Shannon is an academic researcher from Washington University in St. Louis. The author has contributed to research in topics: Gene & Myeloid leukemia. The author has an hindex of 55, co-authored 130 publications receiving 37945 citations. Previous affiliations of William D. Shannon include Forest Park & Indiana University – Purdue University Indianapolis.

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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

Validation of Clinical Classification Schemes for Predicting Stroke: Results From the National Registry of Atrial Fibrillation

TL;DR: The 2 existing classification schemes and especially a new stroke risk index, CHADS, can quantify risk of stroke for patients who have AF and may aid in selection of antithrombotic therapy.
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.