ArticleComputer graphics forum : journal of the European Association for Computer Graphics2019
Tasks, Techniques, and Tools for Genomic Data Visualization.
Article in Computer graphics forum : journal of the European Association for Computer Graphics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 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
43 citing papers in PubMed.
- Geranium: Multimodal Retrieval of Genomics Data Visualizations.IEEE transactions on visualization and computer graphics · 2026Article
- A dataset on microbiome alterations inData in brief · 2026Article
- Uchimata: a toolkit for visualization of 3D genome structures on the web and in computational notebooks.Bioinformatics (Oxford, England) · 2026Article
- Design Space and Declarative Grammar for 3D Genomic Data Visualization.IEEE transactions on visualization and computer graphics · 2026Article
- Gosling Designer: a Platform to Democratize Construction and Sharing of Genomics Data Visualization Tools.ArXiv · 2025Article
- Uchimata: a toolkit for visualization of 3D genome structures on the web and in computational notebooks.ArXiv · 2025Article
- Candidate imprinting control regions in dog genome.BMC genomics · 2025Article
- Understanding Visualization Authoring Techniques for Genomics Data in the Context of Personas and Tasks.IEEE transactions on visualization and computer graphics · 2025Article
- Article
- Learnable and Expressive Visualization Authoring Through Blended Interfaces.IEEE transactions on visualization and computer graphics · 2025Article
- Methods for Chromosome-Scale Haplotype Reconstruction.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Infection with the entomopathogenic nematodes Steinernema alters the Drosophila melanogaster larval microbiome.PloS one · 2025Article
- Article
- AltGosling: automatic generation of text descriptions for accessible genomics data visualization.Bioinformatics (Oxford, England) · 2024Article
- Mondrian Abstraction and Language Model Embeddings for Differential Pathway Analysis.bioRxiv : the preprint server for biology · 2024Article
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- Article
- Article
- A layout framework for genome-wide multiple sequence alignment graphs.Frontiers in bioinformatics · 2024Article
- ReConPlot: an R package for the visualization and interpretation of genomic rearrangements.Bioinformatics (Oxford, England) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Genomic data visualization is essential for interpretation and hypothesis generation as well as a valuable aid in communicating discoveries. Visual tools bridge the gap between algorithmic approaches and the cognitive skills of investigators. Addressing this need has become crucial in genomics, as biomedical research is increasingly data-driven and many studies lack well-defined hypotheses. A key challenge in data-driven research is to discover unexpected patterns and to formulate hypotheses in an unbiased manner in vast amounts of genomic and other associated data. Over the past two decades, this has driven the development of numerous data visualization techniques and tools for visualizing genomic data. Based on a comprehensive literature survey, we propose taxonomies for data, visualization, and tasks involved in genomic data visualization. Furthermore, we provide a comprehensive review of published genomic visualization tools in the context of the proposed taxonomies.
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.