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Quantitative Comparison of Abundance Structures of Generalized Communities: From B-Cell Receptor Repertoires to Microbiomes
The community, the assemblage of organisms co-existing in a given space and time, has the potential to become one of the unifying concepts of biology, especially with the advent of high-throughput sequencing experiments that reveal genetic diversity exhaustively. In this spirit we show that a tool f...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5293285/ https://www.ncbi.nlm.nih.gov/pubmed/28114391 http://dx.doi.org/10.1371/journal.pcbi.1005362 |
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author | Saeedghalati, Mohammadkarim Farahpour, Farnoush Budeus, Bettina Lange, Anja Westendorf, Astrid M. Seifert, Marc Küppers, Ralf Hoffmann, Daniel |
author_facet | Saeedghalati, Mohammadkarim Farahpour, Farnoush Budeus, Bettina Lange, Anja Westendorf, Astrid M. Seifert, Marc Küppers, Ralf Hoffmann, Daniel |
author_sort | Saeedghalati, Mohammadkarim |
collection | PubMed |
description | The community, the assemblage of organisms co-existing in a given space and time, has the potential to become one of the unifying concepts of biology, especially with the advent of high-throughput sequencing experiments that reveal genetic diversity exhaustively. In this spirit we show that a tool from community ecology, the Rank Abundance Distribution (RAD), can be turned by the new MaxRank normalization method into a generic, expressive descriptor for quantitative comparison of communities in many areas of biology. To illustrate the versatility of the method, we analyze RADs from various generalized communities, i.e. assemblages of genetically diverse cells or organisms, including human B cells, gut microbiomes under antibiotic treatment and of different ages and countries of origin, and other human and environmental microbial communities. We show that normalized RADs enable novel quantitative approaches that help to understand structures and dynamics of complex generalized communities. |
format | Online Article Text |
id | pubmed-5293285 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-52932852017-02-17 Quantitative Comparison of Abundance Structures of Generalized Communities: From B-Cell Receptor Repertoires to Microbiomes Saeedghalati, Mohammadkarim Farahpour, Farnoush Budeus, Bettina Lange, Anja Westendorf, Astrid M. Seifert, Marc Küppers, Ralf Hoffmann, Daniel PLoS Comput Biol Research Article The community, the assemblage of organisms co-existing in a given space and time, has the potential to become one of the unifying concepts of biology, especially with the advent of high-throughput sequencing experiments that reveal genetic diversity exhaustively. In this spirit we show that a tool from community ecology, the Rank Abundance Distribution (RAD), can be turned by the new MaxRank normalization method into a generic, expressive descriptor for quantitative comparison of communities in many areas of biology. To illustrate the versatility of the method, we analyze RADs from various generalized communities, i.e. assemblages of genetically diverse cells or organisms, including human B cells, gut microbiomes under antibiotic treatment and of different ages and countries of origin, and other human and environmental microbial communities. We show that normalized RADs enable novel quantitative approaches that help to understand structures and dynamics of complex generalized communities. Public Library of Science 2017-01-23 /pmc/articles/PMC5293285/ /pubmed/28114391 http://dx.doi.org/10.1371/journal.pcbi.1005362 Text en © 2017 Saeedghalati et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Saeedghalati, Mohammadkarim Farahpour, Farnoush Budeus, Bettina Lange, Anja Westendorf, Astrid M. Seifert, Marc Küppers, Ralf Hoffmann, Daniel Quantitative Comparison of Abundance Structures of Generalized Communities: From B-Cell Receptor Repertoires to Microbiomes |
title | Quantitative Comparison of Abundance Structures of Generalized Communities: From B-Cell Receptor Repertoires to Microbiomes |
title_full | Quantitative Comparison of Abundance Structures of Generalized Communities: From B-Cell Receptor Repertoires to Microbiomes |
title_fullStr | Quantitative Comparison of Abundance Structures of Generalized Communities: From B-Cell Receptor Repertoires to Microbiomes |
title_full_unstemmed | Quantitative Comparison of Abundance Structures of Generalized Communities: From B-Cell Receptor Repertoires to Microbiomes |
title_short | Quantitative Comparison of Abundance Structures of Generalized Communities: From B-Cell Receptor Repertoires to Microbiomes |
title_sort | quantitative comparison of abundance structures of generalized communities: from b-cell receptor repertoires to microbiomes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5293285/ https://www.ncbi.nlm.nih.gov/pubmed/28114391 http://dx.doi.org/10.1371/journal.pcbi.1005362 |
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