ArticleNature communications2021
The VRNetzer platform enables interactive network analysis in Virtual Reality.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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
18 citing papers in PubMed.
- A metaverse laboratory setup for interactive atom visualization and manipulation with scanning probe microscopy.Scientific reports · 2025Article
- Navigating the microarray landscape: a comprehensive review of feature selection techniques and their applications.Frontiers in big data · 2025Review
- Blending space and time to talk about cancer in extended reality.NPJ digital medicine · 2024Review
- Visualization and exploration of linked data using virtual reality.Database : the journal of biological databases and curation · 2024Article
- Transomics2cytoscape: an automated software for interpretable 2.5-dimensional visualization of trans-omic networks.NPJ systems biology and applications · 2024Article
- An architecture for collaboration in systems biology at the age of the Metaverse.NPJ systems biology and applications · 2024Article
- Technologies for whole-cell modeling: Genome-wide reconstruction of a cell in silico.Development, growth & differentiation · 2023Review
- Metaverse Wearables for Immersive Digital Healthcare: A Review.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Review
- AutoCore: A network-based definition of the core module of human autoimmunity and autoinflammation.Science advances · 2023Article
- Digital Phenotyping: A Game Changer for the Broiler Industry.Animals : an open access journal from MDPI · 2023Review
- The promise and pitfalls of the metaverse for science.Nature human behaviour · 2023Article
- Toward the Uniform of Chemical Theory, Simulation, and Experiments in Metaverse Technology.Precision chemistry · 2023Review
- Extended reality for biomedicine.Nature reviews. Methods primers · 2023Article
- Bioinformatics and the Metaverse: Are We Ready?Frontiers in bioinformatics · 2022Article
- Overview of methods for characterization and visualization of a protein-protein interaction network in a multi-omics integration context.Frontiers in molecular biosciences · 2022Review
- CellexalVR: A virtual reality platform to visualize and analyze single-cell omics data.iScience · 2021Article
- The VRNetzer platform enables interactive network analysis in Virtual Reality.Nature communications · 2021Article
- Challenges and Opportunities for Theory-Grounded Data Visualization in Extended Reality.IEEE computer graphics and applicationsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Networks provide a powerful representation of interacting components within complex systems, making them ideal for visually and analytically exploring big data. However, the size and complexity of many networks render static visualizations on typically-sized paper or screens impractical, resulting in proverbial 'hairballs'. Here, we introduce a Virtual Reality (VR) platform that overcomes these limitations by facilitating the thorough visual, and interactive, exploration of large networks. Our platform allows maximal customization and extendibility, through the import of custom code for data analysis, integration of external databases, and design of arbitrary user interface elements, among other features. As a proof of concept, we show how our platform can be used to interactively explore genome-scale molecular networks to identify genes associated with rare diseases and understand how they might contribute to disease development. Our platform represents a general purpose, VR-based data exploration platform for large and diverse data types by providing an interface that facilitates the interaction between human intuition and state-of-the-art analysis methods.
Identifiers
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.