GlobeCorr: interactive globe-based visualization for correlation datasets Article Swipe
Mariam Arab
,
Nolan Woods
,
Emma S. Garlock
,
Geoffrey L. Winsor
,
Jaclyn Parks
,
Baofeng Jia
,
Dany Doiron
,
Tim K. Takaro
,
Jeffrey R. Brook
,
Fiona S. L. Brinkman
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1093/bioadv/vbac099
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1093/bioadv/vbac099
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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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/bioadv/vbac099
- https://academic.oup.com/bioinformaticsadvances/article-pdf/3/1/vbac099/48614460/vbac099.pdf
- OA Status
- gold
- References
- 8
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4313800421
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4313800421Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1093/bioadv/vbac099Digital Object Identifier
- Title
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GlobeCorr: interactive globe-based visualization for correlation datasetsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-01-01Full publication date if available
- Authors
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Mariam Arab, Nolan Woods, Emma S. Garlock, Geoffrey L. Winsor, Jaclyn Parks, Baofeng Jia, Dany Doiron, Tim K. Takaro, Jeffrey R. Brook, Fiona S. L. BrinkmanList of authors in order
- Landing page
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https://doi.org/10.1093/bioadv/vbac099Publisher landing page
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https://academic.oup.com/bioinformaticsadvances/article-pdf/3/1/vbac099/48614460/vbac099.pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://academic.oup.com/bioinformaticsadvances/article-pdf/3/1/vbac099/48614460/vbac099.pdfDirect OA link when available
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Metadata, Visualization, Computer science, MIT License, Pairwise comparison, Data mining, Correlation, Interactive visualization, Data visualization, Information retrieval, Globe, License, Data science, World Wide Web, Artificial intelligence, Biology, Mathematics, Neuroscience, Operating system, GeometryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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10Other works algorithmically related by OpenAlex
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