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GlobeCorr: interactive globe-based visualization for correlation datasets

MOTIVATION: Increasingly complex omics datasets are being generated, along with associated diverse categories of metadata (environmental, clinical, etc.). Looking at the correlation between these variables can be critical to identify potential confounding factors and novel relationships. To date, so...

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Autores principales: Arab, Mariam, Woods, Nolan, Garlock, Emma S, Winsor, Geoffrey L, Parks, Jaclyn P, Jia, Baofeng, Doiron, Dany, Takaro, Tim K, Brook, Jeffrey R, Brinkman, Fiona S L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9832964/
https://www.ncbi.nlm.nih.gov/pubmed/36698766
http://dx.doi.org/10.1093/bioadv/vbac099
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author Arab, Mariam
Woods, Nolan
Garlock, Emma S
Winsor, Geoffrey L
Parks, Jaclyn P
Jia, Baofeng
Doiron, Dany
Takaro, Tim K
Brook, Jeffrey R
Brinkman, Fiona S L
author_facet Arab, Mariam
Woods, Nolan
Garlock, Emma S
Winsor, Geoffrey L
Parks, Jaclyn P
Jia, Baofeng
Doiron, Dany
Takaro, Tim K
Brook, Jeffrey R
Brinkman, Fiona S L
author_sort Arab, Mariam
collection PubMed
description MOTIVATION: Increasingly complex omics datasets are being generated, along with associated diverse categories of metadata (environmental, clinical, etc.). Looking at the correlation between these variables can be critical to identify potential confounding factors and novel relationships. To date, some correlation globe software has been developed to aid investigations; however, they lack secure, dynamic visualization capability. RESULTS: GlobeCorr.ca is a web-based application designed to provide user-friendly, interactive visualization and analysis of correlation datasets. Users load tabular data listing pairwise variables and their correlation values, and GlobeCorr creates a dynamic visualization using ribbons to represent positive and negative correlations, optionally grouped by domain/category (such as microbiome taxa against other metadata). GlobeCorr runs securely (locally on a user’s computer) and provides a simple method for users to visualize and summarize complex datasets. This tool is applicable to a wide range of disciplines and domains of interest, including the bioinformatics/microbiome and metadata examples provided within. AVAILABILITY AND IMPLEMENTATION: See https://GlobeCorr.ca; Code provided under an open source MIT license: https://github.com/brinkmanlab/globecorr.
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spelling pubmed-98329642023-01-24 GlobeCorr: interactive globe-based visualization for correlation datasets Arab, Mariam Woods, Nolan Garlock, Emma S Winsor, Geoffrey L Parks, Jaclyn P Jia, Baofeng Doiron, Dany Takaro, Tim K Brook, Jeffrey R Brinkman, Fiona S L Bioinform Adv Application Note MOTIVATION: Increasingly complex omics datasets are being generated, along with associated diverse categories of metadata (environmental, clinical, etc.). Looking at the correlation between these variables can be critical to identify potential confounding factors and novel relationships. To date, some correlation globe software has been developed to aid investigations; however, they lack secure, dynamic visualization capability. RESULTS: GlobeCorr.ca is a web-based application designed to provide user-friendly, interactive visualization and analysis of correlation datasets. Users load tabular data listing pairwise variables and their correlation values, and GlobeCorr creates a dynamic visualization using ribbons to represent positive and negative correlations, optionally grouped by domain/category (such as microbiome taxa against other metadata). GlobeCorr runs securely (locally on a user’s computer) and provides a simple method for users to visualize and summarize complex datasets. This tool is applicable to a wide range of disciplines and domains of interest, including the bioinformatics/microbiome and metadata examples provided within. AVAILABILITY AND IMPLEMENTATION: See https://GlobeCorr.ca; Code provided under an open source MIT license: https://github.com/brinkmanlab/globecorr. Oxford University Press 2023-01-06 /pmc/articles/PMC9832964/ /pubmed/36698766 http://dx.doi.org/10.1093/bioadv/vbac099 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Application Note
Arab, Mariam
Woods, Nolan
Garlock, Emma S
Winsor, Geoffrey L
Parks, Jaclyn P
Jia, Baofeng
Doiron, Dany
Takaro, Tim K
Brook, Jeffrey R
Brinkman, Fiona S L
GlobeCorr: interactive globe-based visualization for correlation datasets
title GlobeCorr: interactive globe-based visualization for correlation datasets
title_full GlobeCorr: interactive globe-based visualization for correlation datasets
title_fullStr GlobeCorr: interactive globe-based visualization for correlation datasets
title_full_unstemmed GlobeCorr: interactive globe-based visualization for correlation datasets
title_short GlobeCorr: interactive globe-based visualization for correlation datasets
title_sort globecorr: interactive globe-based visualization for correlation datasets
topic Application Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9832964/
https://www.ncbi.nlm.nih.gov/pubmed/36698766
http://dx.doi.org/10.1093/bioadv/vbac099
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