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Sergey Koren

Researcher at National Institutes of Health

Publications -  182
Citations -  49171

Sergey Koren is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Genome & Sequence assembly. The author has an hindex of 58, co-authored 163 publications receiving 36640 citations. Previous affiliations of Sergey Koren include University of Maryland, College Park & J. Craig Venter Institute.

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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.
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Canu: scalable and accurate long-read assembly via adaptive k-mer weighting and repeat separation.

TL;DR: Canu, a successor of Celera Assembler that is specifically designed for noisy single-molecule sequences, is presented, demonstrating that Canu can reliably assemble complete microbial genomes and near-complete eukaryotic chromosomes using either Pacific Biosciences or Oxford Nanopore technologies.
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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.
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Mash: fast genome and metagenome distance estimation using MinHash.

TL;DR: Mash extends the MinHash dimensionality-reduction technique to include a pairwise mutation distance and P value significance test, enabling the efficient clustering and search of massive sequence collections.