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Top-down identification of keystone taxa in the microbiome
Guy Amit
,
Amir Bashan
Department of Physics - at Bar-Ilan University
Open University of Israel
Research output
:
Contribution to journal
›
Article
›
peer-review
86
Scopus citations
Overview
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Keyphrases
High-throughput Sequencing
100%
Microbiome
100%
Keystone Taxa
100%
Ecological Communities
50%
Microbial Community
50%
Metagenomics
50%
Specific Interactions
50%
Interaction Model
50%
Total Influence
50%
Accurate Identification
50%
Pairwise Interaction
50%
Higher-order Interactions
50%
Perturbation Experiments
50%
Multiple Candidates
50%
Microbial Interactions
50%
Native Taxa
50%
Keystone Species
50%
Single Time Point
50%
Identification Framework
50%
Longitudinal Sampling
50%
Human Gastrointestinal Microbiome
50%
Earth and Planetary Sciences
High-Throughput Sequencing
100%
Microbiome
100%
Microbial Community
50%
Interspecific Interaction
50%
Metagenomics
50%
Keystone Species
50%
Immunology and Microbiology
Taxon
100%
Microbiome
100%
High Throughput Sequencing
40%
Metagenomics
20%
Intestine Flora
20%
Organismal Interaction
20%
Keystone Species
20%