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Best practices for analysing microbiomes
Rob Knight
, Alison Vrbanac
, Bryn C. Taylor
, Alexander Aksenov
, Chris Callewaert
, Justine Debelius
, Antonio Gonzalez
, Tomasz Kosciolek
, Laura Isobel McCall
, Daniel McDonald
, Alexey V. Melnik
, James T. Morton
, Jose Navas
, Robert A. Quinn
, Jon G. Sanders
, Austin D. Swafford
, Luke R. Thompson
, Anupriya Tripathi
, Zhenjiang Z. Xu
, Jesse R. Zaneveld
Qiyun Zhu, J. Gregory Caporaso, Pieter C. Dorrestein
Show 3 others
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Informatics, Computing, and Cyber Systems, School of
Research output
:
Contribution to journal
›
Review article
›
peer-review
1327
Scopus citations
Overview
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Keyphrases
Molecular Analysis
100%
DNA Sequencing
100%
Complex Microbial Communities
100%
Taxonomic Resolution
100%
Reproducible Research
100%
Microbiome Study
100%
Microbiome
100%
Microbiological Analysis
100%
Design Decisions
100%
Operational Taxonomic Units
100%
DNA Sequencing Technology
100%
Unit-based
100%
Metagenomic Data
100%
Compositional Data Analysis (CoDA)
100%
False Discovery Rate Control
100%
Gastrointestinal Tract
100%
Exact Sequence Variant
100%
Metabolomics Data
100%
Microbiome Data
100%
Multiple Omics Data
100%
Biochemistry, Genetics and Molecular Biology
Microbiome
100%
Dynamics
25%
Metagenomics
25%
Operational Taxonomic Unit
25%
DNA Sequence
25%
Metabolomics
25%
Gastrointestinal Tract
25%
Immunology and Microbiology
Microbiome
100%
Metagenomics
25%
Dynamics
25%
DNA Sequence
25%
Gastrointestinal Tract
25%
Neuroscience
DNA Sequencing
100%
False Discovery Rate
100%
Pharmacology, Toxicology and Pharmaceutical Science
Microbiome
100%
Tamsulosin
25%