ArticleBMC bioinformatics2016
G-DOC Plus - an integrative bioinformatics platform for precision medicine.
Article in BMC bioinformatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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.
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Who cites it
24 citing papers in PubMed.
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- Cell Settling, Migration, and Stochastic Cancer Gene Expression Suggest Potassium Membrane Flux May Initiate pH Reversal.Biomolecules · 2025Article
- From manual clinical criteria to machine learning algorithms: Comparing outcome endpoints derived from diverse electronic health record data modalities.PLOS digital health · 2025Article
- Chromosomal instability: a key driver in glioma pathogenesis and progression.European journal of medical research · 2024Review
- PMBC: a manually curated database for prognostic markers of breast cancer.Database : the journal of biological databases and curation · 2024Article
- Enhancing the REMBRANDT MRI collection with expert segmentation labels and quantitative radiomic features.Scientific data · 2022Article
- Glioma-derived CCL2 and CCL7 mediate migration of immune suppressive CCR2Frontiers in immunology · 2022Article
- High Expression of Glycolytic Genes in Clinical Glioblastoma Patients Correlates With Lower Survival.Frontiers in molecular biosciences · 2021Article
- Comparative analysis of transcriptomic profile, histology, and IDH mutation for classification of gliomas.Scientific reports · 2020Article
- PRISM: A Platform for Imaging in Precision Medicine.JCO clinical cancer informatics · 2020Article
- Artificial Intelligence (AI)-Based Systems Biology Approaches in Multi-Omics Data Analysis of Cancer.Frontiers in oncology · 2020Review
- Metabolomics technology and bioinformatics for precision medicine.Briefings in bioinformatics · 2019Review
- Application of a Blockchain Platform to Manage and Secure Personal Genomic Data: A Case Study of LifeCODE.ai in China.Journal of medical Internet research · 2019Article
- The current state of molecular testing in the treatment of patients with solid tumors, 2019.CA: a cancer journal for clinicians · 2019Review
- Data and knowledge management in translational research: implementation of the eTRIKS platform for the IMI OncoTrack consortium.BMC bioinformatics · 2019Article
- The REMBRANDT study, a large collection of genomic data from brain cancer patients.Scientific data · 2018Article
- Standardizing And Democratizing Access To Cancer Molecular Diagnostic Test Data From Patients To Drive Translational Research.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2018Article
- ClinGen Cancer Somatic Working Group - standardizing and democratizing access to cancer molecular diagnostic data to drive translational research.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2018Article
- Exploring and visualizing multidimensional data in translational research platforms.Briefings in bioinformatics · 2017Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
backgroundG-DOC Plus is a data integration and bioinformatics platform that uses cloud computing and other advanced computational tools to handle a variety of biomedical BIG DATA including gene expression arrays, NGS and medical images so that they can be analyzed in the full context of other omics and clinical information.
resultsG-DOC Plus currently holds data from over 10,000 patients selected from private and public resources including Gene Expression Omnibus (GEO), The Cancer Genome Atlas (TCGA) and the recently added datasets from REpository for Molecular BRAin Neoplasia DaTa (REMBRANDT), caArray studies of lung and colon cancer, ImmPort and the 1000 genomes data sets. The system allows researchers to explore clinical-omic data one sample at a time, as a cohort of samples; or at the level of population, providing the user with a comprehensive view of the data. G-DOC Plus tools have been leveraged in cancer and non-cancer studies for hypothesis generation and validation; biomarker discovery and multi-omics analysis, to explore somatic mutations and cancer MRI images; as well as for training and graduate education in bioinformatics, data and computational sciences. Several of these use cases are described in this paper to demonstrate its multifaceted usability.
conclusionG-DOC Plus can be used to support a variety of user groups in multiple domains to enable hypothesis generation for precision medicine research. The long-term vision of G-DOC Plus is to extend this translational bioinformatics platform to stay current with emerging omics technologies and analysis methods to continue supporting novel hypothesis generation, analysis and validation for integrative biomedical research. By integrating several aspects of the disease and exposing various data elements, such as outpatient lab workup, pathology, radiology, current treatments, molecular signatures and expected outcomes over a web interface, G-DOC Plus will continue to strengthen precision medicine research. G-DOC Plus is available at: https://gdoc.georgetown.edu .
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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.