ArticleBioinformatics (Oxford, England)2017
SmartR: an open-source platform for interactive visual analytics for translational research data.
Article in Bioinformatics (Oxford, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Consistency as a Data Quality Measure for German Corona Consensus Items Mapped from National Pandemic Cohort Network Data Collections.Methods of information in medicine · 2023Article
- Cardiovascular RNA markers and artificial intelligence may improve COVID-19 outcome: a position paper from the EU-CardioRNA COST Action CA17129.Cardiovascular research · 2021Article
- Systems Bioinformatics: increasing precision of computational diagnostics and therapeutics through network-based approaches.Briefings in bioinformatics · 2019Review
- Data and knowledge management in translational research: implementation of the eTRIKS platform for the IMI OncoTrack consortium.BMC bioinformatics · 2019Article
- Fractalis: a scalable open-source service for platform-independent interactive visual analysis of biomedical data.GigaScience · 2018Article
- Integrating Multimodal Radiation Therapy Data into i2b2.Applied clinical informatics · 2018Article
- A roadmap towards personalized immunology.NPJ systems biology and applications · 2018Article
- The RA-MAP Consortium: a working model for academia-industry collaboration.Nature reviews. Rheumatology · 2018Review
- Usability and Suitability of the Omics-Integrating Analysis Platform tranSMART for Translational Research and Education.Applied clinical informatics · 2017Article
- Systematically linking tranSMART, Galaxy and EGA for reusing human translational research data.F1000Research · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
summaryIn 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 . CONTACT: reinhard.schneider@uni.lu. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.