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EMPress Enables Tree-Guided, Interactive, and Exploratory Analyses of Multi-omic Data Sets
Standard workflows for analyzing microbiomes often include the creation and curation of phylogenetic trees. Here we present EMPress, an interactive web tool for visualizing trees in the context of microbiome, metabolome, and other community data scalable to trees with well over 500,000 nodes. EMPres...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8546999/ https://www.ncbi.nlm.nih.gov/pubmed/33727399 http://dx.doi.org/10.1128/mSystems.01216-20 |
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author | Cantrell, Kalen Fedarko, Marcus W. Rahman, Gibraan McDonald, Daniel Yang, Yimeng Zaw, Thant Gonzalez, Antonio Janssen, Stefan Estaki, Mehrbod Haiminen, Niina Beck, Kristen L. Zhu, Qiyun Sayyari, Erfan Morton, James T. Armstrong, George Tripathi, Anupriya Gauglitz, Julia M. Marotz, Clarisse Matteson, Nathaniel L. Martino, Cameron Sanders, Jon G. Carrieri, Anna Paola Song, Se Jin Swafford, Austin D. Dorrestein, Pieter C. Andersen, Kristian G. Parida, Laxmi Kim, Ho-Cheol Vázquez-Baeza, Yoshiki Knight, Rob |
author_facet | Cantrell, Kalen Fedarko, Marcus W. Rahman, Gibraan McDonald, Daniel Yang, Yimeng Zaw, Thant Gonzalez, Antonio Janssen, Stefan Estaki, Mehrbod Haiminen, Niina Beck, Kristen L. Zhu, Qiyun Sayyari, Erfan Morton, James T. Armstrong, George Tripathi, Anupriya Gauglitz, Julia M. Marotz, Clarisse Matteson, Nathaniel L. Martino, Cameron Sanders, Jon G. Carrieri, Anna Paola Song, Se Jin Swafford, Austin D. Dorrestein, Pieter C. Andersen, Kristian G. Parida, Laxmi Kim, Ho-Cheol Vázquez-Baeza, Yoshiki Knight, Rob |
author_sort | Cantrell, Kalen |
collection | PubMed |
description | Standard workflows for analyzing microbiomes often include the creation and curation of phylogenetic trees. Here we present EMPress, an interactive web tool for visualizing trees in the context of microbiome, metabolome, and other community data scalable to trees with well over 500,000 nodes. EMPress provides novel functionality—including ordination integration and animations—alongside many standard tree visualization features and thus simplifies exploratory analyses of many forms of ‘omic data. IMPORTANCE Phylogenetic trees are integral data structures for the analysis of microbial communities. Recent work has also shown the utility of trees constructed from certain metabolomic data sets, further highlighting their importance in microbiome research. The ever-growing scale of modern microbiome surveys has led to numerous challenges in visualizing these data. In this paper we used five diverse data sets to showcase the versatility and scalability of EMPress, an interactive web visualization tool. EMPress addresses the growing need for exploratory analysis tools that can accommodate large, complex multi-omic data sets. |
format | Online Article Text |
id | pubmed-8546999 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-85469992021-10-27 EMPress Enables Tree-Guided, Interactive, and Exploratory Analyses of Multi-omic Data Sets Cantrell, Kalen Fedarko, Marcus W. Rahman, Gibraan McDonald, Daniel Yang, Yimeng Zaw, Thant Gonzalez, Antonio Janssen, Stefan Estaki, Mehrbod Haiminen, Niina Beck, Kristen L. Zhu, Qiyun Sayyari, Erfan Morton, James T. Armstrong, George Tripathi, Anupriya Gauglitz, Julia M. Marotz, Clarisse Matteson, Nathaniel L. Martino, Cameron Sanders, Jon G. Carrieri, Anna Paola Song, Se Jin Swafford, Austin D. Dorrestein, Pieter C. Andersen, Kristian G. Parida, Laxmi Kim, Ho-Cheol Vázquez-Baeza, Yoshiki Knight, Rob mSystems Research Article Standard workflows for analyzing microbiomes often include the creation and curation of phylogenetic trees. Here we present EMPress, an interactive web tool for visualizing trees in the context of microbiome, metabolome, and other community data scalable to trees with well over 500,000 nodes. EMPress provides novel functionality—including ordination integration and animations—alongside many standard tree visualization features and thus simplifies exploratory analyses of many forms of ‘omic data. IMPORTANCE Phylogenetic trees are integral data structures for the analysis of microbial communities. Recent work has also shown the utility of trees constructed from certain metabolomic data sets, further highlighting their importance in microbiome research. The ever-growing scale of modern microbiome surveys has led to numerous challenges in visualizing these data. In this paper we used five diverse data sets to showcase the versatility and scalability of EMPress, an interactive web visualization tool. EMPress addresses the growing need for exploratory analysis tools that can accommodate large, complex multi-omic data sets. American Society for Microbiology 2021-03-16 /pmc/articles/PMC8546999/ /pubmed/33727399 http://dx.doi.org/10.1128/mSystems.01216-20 Text en Copyright © 2021 Cantrell et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Cantrell, Kalen Fedarko, Marcus W. Rahman, Gibraan McDonald, Daniel Yang, Yimeng Zaw, Thant Gonzalez, Antonio Janssen, Stefan Estaki, Mehrbod Haiminen, Niina Beck, Kristen L. Zhu, Qiyun Sayyari, Erfan Morton, James T. Armstrong, George Tripathi, Anupriya Gauglitz, Julia M. Marotz, Clarisse Matteson, Nathaniel L. Martino, Cameron Sanders, Jon G. Carrieri, Anna Paola Song, Se Jin Swafford, Austin D. Dorrestein, Pieter C. Andersen, Kristian G. Parida, Laxmi Kim, Ho-Cheol Vázquez-Baeza, Yoshiki Knight, Rob EMPress Enables Tree-Guided, Interactive, and Exploratory Analyses of Multi-omic Data Sets |
title | EMPress Enables Tree-Guided, Interactive, and Exploratory Analyses of Multi-omic Data Sets |
title_full | EMPress Enables Tree-Guided, Interactive, and Exploratory Analyses of Multi-omic Data Sets |
title_fullStr | EMPress Enables Tree-Guided, Interactive, and Exploratory Analyses of Multi-omic Data Sets |
title_full_unstemmed | EMPress Enables Tree-Guided, Interactive, and Exploratory Analyses of Multi-omic Data Sets |
title_short | EMPress Enables Tree-Guided, Interactive, and Exploratory Analyses of Multi-omic Data Sets |
title_sort | empress enables tree-guided, interactive, and exploratory analyses of multi-omic data sets |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8546999/ https://www.ncbi.nlm.nih.gov/pubmed/33727399 http://dx.doi.org/10.1128/mSystems.01216-20 |
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