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BPG: Seamless, automated and interactive visualization of scientific data
BACKGROUND: We introduce BPG, a framework for generating publication-quality, highly-customizable plots in the R statistical environment. RESULTS: This open-source package includes multiple methods of displaying high-dimensional datasets and facilitates generation of complex multi-panel figures, mak...
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6341661/ https://www.ncbi.nlm.nih.gov/pubmed/30665349 http://dx.doi.org/10.1186/s12859-019-2610-2 |
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| author | P’ng, Christine Green, Jeffrey Chong, Lauren C. Waggott, Daryl Prokopec, Stephenie D. Shamsi, Mehrdad Nguyen, Francis Mak, Denise Y. F. Lam, Felix Albuquerque, Marco A. Wu, Ying Jung, Esther H. Starmans, Maud H. W. Chan-Seng-Yue, Michelle A. Yao, Cindy Q. Liang, Bianca Lalonde, Emilie Haider, Syed Simone, Nicole A. Sendorek, Dorota Chu, Kenneth C. Moon, Nathalie C. Fox, Natalie S. Grzadkowski, Michal R. Harding, Nicholas J. Fung, Clement Murdoch, Amanda R. Houlahan, Kathleen E. Wang, Jianxin Garcia, David R. de Borja, Richard Sun, Ren X. Lin, Xihui Chen, Gregory M. Lu, Aileen Shiah, Yu-Jia Zia, Amin Kearns, Ryan Boutros, Paul C. |
| author_facet | P’ng, Christine Green, Jeffrey Chong, Lauren C. Waggott, Daryl Prokopec, Stephenie D. Shamsi, Mehrdad Nguyen, Francis Mak, Denise Y. F. Lam, Felix Albuquerque, Marco A. Wu, Ying Jung, Esther H. Starmans, Maud H. W. Chan-Seng-Yue, Michelle A. Yao, Cindy Q. Liang, Bianca Lalonde, Emilie Haider, Syed Simone, Nicole A. Sendorek, Dorota Chu, Kenneth C. Moon, Nathalie C. Fox, Natalie S. Grzadkowski, Michal R. Harding, Nicholas J. Fung, Clement Murdoch, Amanda R. Houlahan, Kathleen E. Wang, Jianxin Garcia, David R. de Borja, Richard Sun, Ren X. Lin, Xihui Chen, Gregory M. Lu, Aileen Shiah, Yu-Jia Zia, Amin Kearns, Ryan Boutros, Paul C. |
| author_sort | P’ng, Christine |
| collection | PubMed |
| description | BACKGROUND: We introduce BPG, a framework for generating publication-quality, highly-customizable plots in the R statistical environment. RESULTS: This open-source package includes multiple methods of displaying high-dimensional datasets and facilitates generation of complex multi-panel figures, making it suitable for complex datasets. A web-based interactive tool allows online figure customization, from which R code can be downloaded for integration with computational pipelines. CONCLUSION: BPG provides a new approach for linking interactive and scripted data visualization and is available at http://labs.oicr.on.ca/boutros-lab/software/bpg or via CRAN at https://cran.r-project.org/web/packages/BoutrosLab.plotting.general ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-019-2610-2) contains supplementary material, which is available to authorized users. |
| format | Online Article Text |
| id | pubmed-6341661 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2019 |
| publisher | BioMed Central |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-63416612019-01-24 BPG: Seamless, automated and interactive visualization of scientific data P’ng, Christine Green, Jeffrey Chong, Lauren C. Waggott, Daryl Prokopec, Stephenie D. Shamsi, Mehrdad Nguyen, Francis Mak, Denise Y. F. Lam, Felix Albuquerque, Marco A. Wu, Ying Jung, Esther H. Starmans, Maud H. W. Chan-Seng-Yue, Michelle A. Yao, Cindy Q. Liang, Bianca Lalonde, Emilie Haider, Syed Simone, Nicole A. Sendorek, Dorota Chu, Kenneth C. Moon, Nathalie C. Fox, Natalie S. Grzadkowski, Michal R. Harding, Nicholas J. Fung, Clement Murdoch, Amanda R. Houlahan, Kathleen E. Wang, Jianxin Garcia, David R. de Borja, Richard Sun, Ren X. Lin, Xihui Chen, Gregory M. Lu, Aileen Shiah, Yu-Jia Zia, Amin Kearns, Ryan Boutros, Paul C. BMC Bioinformatics Software BACKGROUND: We introduce BPG, a framework for generating publication-quality, highly-customizable plots in the R statistical environment. RESULTS: This open-source package includes multiple methods of displaying high-dimensional datasets and facilitates generation of complex multi-panel figures, making it suitable for complex datasets. A web-based interactive tool allows online figure customization, from which R code can be downloaded for integration with computational pipelines. CONCLUSION: BPG provides a new approach for linking interactive and scripted data visualization and is available at http://labs.oicr.on.ca/boutros-lab/software/bpg or via CRAN at https://cran.r-project.org/web/packages/BoutrosLab.plotting.general ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-019-2610-2) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-21 /pmc/articles/PMC6341661/ /pubmed/30665349 http://dx.doi.org/10.1186/s12859-019-2610-2 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
| spellingShingle | Software P’ng, Christine Green, Jeffrey Chong, Lauren C. Waggott, Daryl Prokopec, Stephenie D. Shamsi, Mehrdad Nguyen, Francis Mak, Denise Y. F. Lam, Felix Albuquerque, Marco A. Wu, Ying Jung, Esther H. Starmans, Maud H. W. Chan-Seng-Yue, Michelle A. Yao, Cindy Q. Liang, Bianca Lalonde, Emilie Haider, Syed Simone, Nicole A. Sendorek, Dorota Chu, Kenneth C. Moon, Nathalie C. Fox, Natalie S. Grzadkowski, Michal R. Harding, Nicholas J. Fung, Clement Murdoch, Amanda R. Houlahan, Kathleen E. Wang, Jianxin Garcia, David R. de Borja, Richard Sun, Ren X. Lin, Xihui Chen, Gregory M. Lu, Aileen Shiah, Yu-Jia Zia, Amin Kearns, Ryan Boutros, Paul C. BPG: Seamless, automated and interactive visualization of scientific data |
| title | BPG: Seamless, automated and interactive visualization of scientific data |
| title_full | BPG: Seamless, automated and interactive visualization of scientific data |
| title_fullStr | BPG: Seamless, automated and interactive visualization of scientific data |
| title_full_unstemmed | BPG: Seamless, automated and interactive visualization of scientific data |
| title_short | BPG: Seamless, automated and interactive visualization of scientific data |
| title_sort | bpg: seamless, automated and interactive visualization of scientific data |
| topic | Software |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6341661/ https://www.ncbi.nlm.nih.gov/pubmed/30665349 http://dx.doi.org/10.1186/s12859-019-2610-2 |
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