PhenoGMM: Gaussian Mixture Modeling of Cytometry Data Quantifies Changes in Microbial Community Structure Article Swipe
Peter Rubbens
,
Ruben Props
,
Frederiek‐Maarten Kerckhof
,
Nico Boon
,
Willem Waegeman
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1128/msphere.00530-20
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1128/msphere.00530-20
Microorganisms are vital components in various ecosystems on Earth. In order to investigate the microbial diversity, researchers have largely relied on the analysis of 16S rRNA gene sequences from DNA.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1128/msphere.00530-20
- OA Status
- gold
- Cited By
- 33
- References
- 64
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3128890498
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3128890498Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1128/msphere.00530-20Digital Object Identifier
- Title
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PhenoGMM: Gaussian Mixture Modeling of Cytometry Data Quantifies Changes in Microbial Community StructureWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-02-16Full publication date if available
- Authors
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Peter Rubbens, Ruben Props, Frederiek‐Maarten Kerckhof, Nico Boon, Willem WaegemanList of authors in order
- Landing page
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https://doi.org/10.1128/msphere.00530-20Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1128/msphere.00530-20Direct OA link when available
- Concepts
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Microorganism, 16S ribosomal RNA, Gaussian, Microbial population biology, Computational biology, Biology, Biological system, Gene, Genetics, Bacteria, Chemistry, Computational chemistryTop concepts (fields/topics) attached by OpenAlex
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33Total citation count in OpenAlex
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2025: 6, 2024: 6, 2023: 7, 2022: 9, 2021: 5Per-year citation counts (last 5 years)
- References (count)
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64Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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