ReviewBriefings in bioinformatics2015
Translational research platforms integrating clinical and omics data: a review of publicly available solutions.
Review in Briefings in bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
49 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic Review and Meta-Analysis of Mass Spectrometry Proteomics Applied to Human Peripheral Fluids to Assess Potential Biomarkers of Schizophrenia.International journal of molecular sciences · 2022Pooled it
- Selecting medical research data platforms for translational biomedical research: a five-tier overview and requirement-weighted assessment framework.Frontiers in digital health · 2026Review
- FAIR Omics Data Management: Overview, Challenges, and Best Practices.Advances in experimental medicine and biology · 2026Review
- Data Visualization Support for Interdisciplinary Team Treatment Planning in Clinical Oncology: Scoping Review.Journal of medical Internet research · 2025Article
- Phenome-wide profiling identifies genotype-phenotype associations in Phelan-McDermid syndrome using family-sourced data from an international registry.Molecular autism · 2024Article
- Recent advances in cardiovascular disease research driven by metabolomics technologies in the context of systems biology.npj metabolic health and disease · 2024Review
- Data Visualization Support for Tumor Boards and Clinical Oncology: Protocol for a Scoping Review.JMIR research protocols · 2024Article
- Consore: A Powerful Federated Data Mining Tool Driving a French Research Network to Accelerate Cancer Research.International journal of environmental research and public health · 2024Article
- Translating Data Science Results into Precision Oncology Decisions: A Mini Review.Journal of clinical medicine · 2023Review
- Patient Identification and Tumor Identification Management: Quality Program in a Cancer Multicentric Clinical Data Warehouse.Cancer informatics · 2023Article
- Recent Progress and Future Direction for the Application of Multiomics Data in Clinical Liver Transplantation.Journal of clinical and translational hepatology · 2022Review
- Medical-Blocks-A Platform for Exploration, Management, Analysis, and Sharing of Data in Biomedical Research: System Development and Integration Results.JMIR formative research · 2022Article
- Development of the "Applied Proteomics" Concept for Biotechnology Applications in Microalgae: Example of the Proteome Data inMarine drugs · 2021Review
- Diagnostic and prognostic value of thymidylate synthase expression in breast cancer.Clinical and experimental pharmacology & physiology · 2021Article
- Translational Informatics for Natural Products as Antidepressant Agents.Frontiers in cell and developmental biology · 2021Review
- Enabling Agile Clinical and Translational Data Warehousing: Platform Development and Evaluation.JMIR medical informatics · 2020Article
- The European medical information framework: A novel ecosystem for sharing healthcare data across Europe.Learning health systems · 2020Article
- Mining multi-site clinical data to develop machine learning MRI biomarkers: application to neonatal hypoxic ischemic encephalopathy.Journal of translational medicine · 2019Article
- PlatformTM, a standards-based data custodianship platform for translational medicine research.Scientific data · 2019Article
- Data and knowledge management in translational research: implementation of the eTRIKS platform for the IMI OncoTrack consortium.BMC bioinformatics · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rise of personalized medicine and the availability of high-throughput molecular analyses in the context of clinical care have increased the need for adequate tools for translational researchers to manage and explore these data. We reviewed the biomedical literature for translational platforms allowing the management and exploration of clinical and omics data, and identified seven platforms: BRISK, caTRIP, cBio Cancer Portal, G-DOC, iCOD, iDASH and tranSMART. We analyzed these platforms along seven major axes. (1) The community axis regrouped information regarding initiators and funders of the project, as well as availability status and references. (2) We regrouped under the information content axis the nature of the clinical and omics data handled by each system. (3) The privacy management environment axis encompassed functionalities allowing control over data privacy. (4) In the analysis support axis, we detailed the analytical and statistical tools provided by the platforms. We also explored (5) interoperability support and (6) system requirements. The final axis (7) platform support listed the availability of documentation and installation procedures. A large heterogeneity was observed in regard to the capability to manage phenotype information in addition to omics data, their security and interoperability features. The analytical and visualization features strongly depend on the considered platform. Similarly, the availability of the systems is variable. This review aims at providing the reader with the background to choose the platform best suited to their needs. To conclude, we discuss the desiderata for optimal translational research platforms, in terms of privacy, interoperability and technical features.
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What OpenQuestion holds
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.