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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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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. |
format | Online Article Text |
id | pubmed-8826351 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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 |