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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...

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Detalles Bibliográficos
Autores principales: Herzinger, Sascha, Gu, Wei, Satagopam, Venkata, Eifes, Serge, Rege, Kavita, Barbosa-Silva, Adriano, Schneider, Reinhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
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.
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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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