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SmartR: an open-source platform for interactive visual analytics for translational research data
SUMMARY: In translational research, efficient knowledge exchange between the different fields of expertise is crucial. An open platform that is capable of storing a multitude of data types such as clinical, pre-clinical or OMICS data combined with strong visual analytical capabilities will significa...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870773/ https://www.ncbi.nlm.nih.gov/pubmed/28334291 http://dx.doi.org/10.1093/bioinformatics/btx137 |
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author | Herzinger, Sascha Gu, Wei Satagopam, Venkata Eifes, Serge Rege, Kavita Barbosa-Silva, Adriano Schneider, Reinhard |
author_facet | Herzinger, Sascha Gu, Wei Satagopam, Venkata Eifes, Serge Rege, Kavita Barbosa-Silva, Adriano Schneider, Reinhard |
author_sort | Herzinger, Sascha |
collection | PubMed |
description | SUMMARY: In translational research, efficient knowledge exchange between the different fields of expertise is crucial. An open platform that is capable of storing a multitude of data types such as clinical, pre-clinical or OMICS data combined with strong visual analytical capabilities will significantly accelerate the scientific progress by making data more accessible and hypothesis generation easier. The open data warehouse tranSMART is capable of storing a variety of data types and has a growing user community including both academic institutions and pharmaceutical companies. tranSMART, however, currently lacks interactive and dynamic visual analytics and does not permit any post-processing interaction or exploration. For this reason, we developed SmartR, a plugin for tranSMART, that equips the platform not only with several dynamic visual analytical workflows, but also provides its own framework for the addition of new custom workflows. Modern web technologies such as D3.js or AngularJS were used to build a set of standard visualizations that were heavily improved with dynamic elements. AVAILABILITY AND IMPLEMENTATION: The source code is licensed under the Apache 2.0 License and is freely available on GitHub: https://github.com/transmart/SmartR. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-5870773 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-58707732018-03-29 SmartR: an open-source platform for interactive visual analytics for translational research data Herzinger, Sascha Gu, Wei Satagopam, Venkata Eifes, Serge Rege, Kavita Barbosa-Silva, Adriano Schneider, Reinhard Bioinformatics Applications Notes SUMMARY: In translational research, efficient knowledge exchange between the different fields of expertise is crucial. An open platform that is capable of storing a multitude of data types such as clinical, pre-clinical or OMICS data combined with strong visual analytical capabilities will significantly accelerate the scientific progress by making data more accessible and hypothesis generation easier. The open data warehouse tranSMART is capable of storing a variety of data types and has a growing user community including both academic institutions and pharmaceutical companies. tranSMART, however, currently lacks interactive and dynamic visual analytics and does not permit any post-processing interaction or exploration. For this reason, we developed SmartR, a plugin for tranSMART, that equips the platform not only with several dynamic visual analytical workflows, but also provides its own framework for the addition of new custom workflows. Modern web technologies such as D3.js or AngularJS were used to build a set of standard visualizations that were heavily improved with dynamic elements. AVAILABILITY AND IMPLEMENTATION: The source code is licensed under the Apache 2.0 License and is freely available on GitHub: https://github.com/transmart/SmartR. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2017-07-15 2017-03-09 /pmc/articles/PMC5870773/ /pubmed/28334291 http://dx.doi.org/10.1093/bioinformatics/btx137 Text en © The Author 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://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 Herzinger, Sascha Gu, Wei Satagopam, Venkata Eifes, Serge Rege, Kavita Barbosa-Silva, Adriano Schneider, Reinhard SmartR: an open-source platform for interactive visual analytics for translational research data |
title | SmartR: an open-source platform for interactive visual analytics for translational research data |
title_full | SmartR: an open-source platform for interactive visual analytics for translational research data |
title_fullStr | SmartR: an open-source platform for interactive visual analytics for translational research data |
title_full_unstemmed | SmartR: an open-source platform for interactive visual analytics for translational research data |
title_short | SmartR: an open-source platform for interactive visual analytics for translational research data |
title_sort | smartr: an open-source platform for interactive visual analytics for translational research data |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870773/ https://www.ncbi.nlm.nih.gov/pubmed/28334291 http://dx.doi.org/10.1093/bioinformatics/btx137 |
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