Evidence map›Paper›PMID 34596551›Full record

ArticleIEEE transactions on visualization and computer graphics2022

Gosling: A Grammar-based Toolkit for Scalable and Interactive Genomics Data Visualization.

Sehi L'Yi, Qianwen Wang, Fritz Lekschas, Nils Gehlenborg

Abstract read
In one paragraph

Article in IEEE transactions on visualization and computer graphics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed.

  1. Geranium: Multimodal Retrieval of Genomics Data Visualizations.IEEE transactions on visualization and computer graphics · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Design Space and Declarative Grammar for 3D Genomic Data Visualization.IEEE transactions on visualization and computer graphics · 2026
    Article
  6. Review
  7. Article
  8. Safire: Similarity Framework for Visualization Retrieval.IEEE Visualization Conference : VIS. IEEE Conference on Visualization · 2025
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Aardvark: Composite Visualizations of Trees, Time-Series, and Images.IEEE transactions on visualization and computer graphics · 2025
    Article
  16. Article
  17. Learnable and Expressive Visualization Authoring Through Blended Interfaces.IEEE transactions on visualization and computer graphics · 2025
    Article
  18. KnowNet: Guided Health Information Seeking from LLMs via Knowledge Graph IntegrationIEEE transactions on visualization and computer graphics · 2025
    Article
  19. Visualizing metagenomic and metatranscriptomic data: A comprehensive review.Computational and structural biotechnology journal · 2024
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sehi L'Yi
Qianwen Wang
Fritz Lekschas
Nils Gehlenborg

Funding

4D Nucleome Network Data Coordination and Integration CenterU01CA200059 · NCI · HARVARD MEDICAL SCHOOL · PI PARK, PETER J · 2015 to 2024
$24.4M
Center for 3D Structure and Physics of the GenomeUM1HG011536 · NHGRI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI DEKKER, JOB, MIRNY, LEONID A · 2020 to 2024
$11.8M
Developing Informatics Technologies to Model Cancer Gene RegulationU24CA237617 · NCI · DANA-FARBER CANCER INST · PI MEYER, CLIFFORD · 2019 to 2023
$3.6M
NCI NIH HHS U01 CA200059NCI NIH HHS U24 CA237617NHGRI NIH HHS UM1 HG011536
6 · The paper itself

Abstract

The combination of diverse data types and analysis tasks in genomics has resulted in the development of a wide range of visualization techniques and tools. However, most existing tools are tailored to a specific problem or data type and offer limited customization, making it challenging to optimize visualizations for new analysis tasks or datasets. To address this challenge, we designed Gosling-a grammar for interactive and scalable genomics data visualization. Gosling balances expressiveness for comprehensive multi-scale genomics data visualizations with accessibility for domain scientists. Our accompanying JavaScript toolkit called Gosling.js provides scalable and interactive rendering. Gosling.js is built on top of an existing platform for web-based genomics data visualization to further simplify the visualization of common genomics data formats. We demonstrate the expressiveness of the grammar through a variety of real-world examples. Furthermore, we show how Gosling supports the design of novel genomics visualizations. An online editor and examples of Gosling.js, its source code, and documentation are available at https://gosling.js.org.

Indexed as

Computer GraphicsData VisualizationAnimalsGeeseGenomicsSoftware

Identifiers

PMID34596551
PMCPMC8826597

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.