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Patrick D. Schloss

Researcher at University of Michigan

Publications -  192
Citations -  63249

Patrick D. Schloss is an academic researcher from University of Michigan. The author has contributed to research in topics: Microbiome & Metagenomics. The author has an hindex of 66, co-authored 177 publications receiving 54671 citations. Previous affiliations of Patrick D. Schloss include University of Wisconsin-Madison & University of Massachusetts Amherst.

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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

Development of a dual-index sequencing strategy and curation pipeline for analyzing amplicon sequence data on the MiSeq Illumina sequencing platform.

TL;DR: This work presents an improved method for sequencing variable regions within the 16S rRNA gene using Illumina's MiSeq platform, which is currently capable of producing paired 250-nucleotide reads and demonstrates that it can provide data that are at least as good as that generated by the 454 platform while providing considerably higher sequencing coverage for a fraction of the cost.
Journal ArticleDOI

Introducing DOTUR, a Computer Program for Defining Operational Taxonomic Units and Estimating Species Richness

TL;DR: A computer program, DOTUR, is developed, which assigns sequences to OTUs by using either the furthest, average, or nearest neighbor algorithm for each distance level, which addresses the challenge of assigning sequences to operational taxonomic units (OTUs) based on the genetic distances between sequences.