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spiralize: an R package for visualizing data on spirals

SUMMARY: Spiral layout has two major advantages for data visualization. First, it is able to visualize data with long axes, which greatly improves the resolution of visualization. Second, it is efficient for time series data to reveal periodic patterns. Here, we present the R package spiralize that...

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Detalles Bibliográficos
Autores principales: Gu, Zuguang, Hübschmann, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826351/
https://www.ncbi.nlm.nih.gov/pubmed/34849585
http://dx.doi.org/10.1093/bioinformatics/btab778
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author Gu, Zuguang
Hübschmann, Daniel
author_facet Gu, Zuguang
Hübschmann, Daniel
author_sort Gu, Zuguang
collection PubMed
description SUMMARY: Spiral layout has two major advantages for data visualization. First, it is able to visualize data with long axes, which greatly improves the resolution of visualization. Second, it is efficient for time series data to reveal periodic patterns. Here, we present the R package spiralize that provides a general solution for visualizing data on spirals. spiralize implements numerous graphics functions so that self-defined high-level graphics can be easily implemented by users. The flexibility and power of spiralize are demonstrated by five examples from real-world datasets. AVAILABILITY AND IMPLEMENTATION: The spiralize package and documentations are freely available at the Comprehensive R Archive Network (CRAN) https://CRAN.R-project.org/package=spiralize SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-88263512022-02-09 spiralize: an R package for visualizing data on spirals Gu, Zuguang Hübschmann, Daniel Bioinformatics Applications Notes SUMMARY: Spiral layout has two major advantages for data visualization. First, it is able to visualize data with long axes, which greatly improves the resolution of visualization. Second, it is efficient for time series data to reveal periodic patterns. Here, we present the R package spiralize that provides a general solution for visualizing data on spirals. spiralize implements numerous graphics functions so that self-defined high-level graphics can be easily implemented by users. The flexibility and power of spiralize are demonstrated by five examples from real-world datasets. AVAILABILITY AND IMPLEMENTATION: The spiralize package and documentations are freely available at the Comprehensive R Archive Network (CRAN) https://CRAN.R-project.org/package=spiralize SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2021-11-26 /pmc/articles/PMC8826351/ /pubmed/34849585 http://dx.doi.org/10.1093/bioinformatics/btab778 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Applications Notes
Gu, Zuguang
Hübschmann, Daniel
spiralize: an R package for visualizing data on spirals
title spiralize: an R package for visualizing data on spirals
title_full spiralize: an R package for visualizing data on spirals
title_fullStr spiralize: an R package for visualizing data on spirals
title_full_unstemmed spiralize: an R package for visualizing data on spirals
title_short spiralize: an R package for visualizing data on spirals
title_sort spiralize: an r package for visualizing data on spirals
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826351/
https://www.ncbi.nlm.nih.gov/pubmed/34849585
http://dx.doi.org/10.1093/bioinformatics/btab778
work_keys_str_mv AT guzuguang spiralizeanrpackageforvisualizingdataonspirals
AT hubschmanndaniel spiralizeanrpackageforvisualizingdataonspirals