Evidence map›Paper›PMID 36166553›Full record

ReviewIEEE transactions on visualization and computer graphics2023

Multi-View Design Patterns and Responsive Visualization for Genomics Data.

Sehi LYi, Nils Gehlenborg

Full text readReview
In one paragraph

Review in IEEE transactions on visualization and computer graphics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Geranium: Multimodal Retrieval of Genomics Data Visualizations.IEEE transactions on visualization and computer graphics · 2026
    Article
  2. Aardvark: Composite Visualizations of Trees, Time-Series, and Images.IEEE transactions on visualization and computer graphics · 2025
    Article
  3. Learnable and Expressive Visualization Authoring Through Blended Interfaces.IEEE transactions on visualization and computer graphics · 2025
    Article
  4. Article
  5. GenoREC: A Recommendation System for Interactive Genomics Data Visualization.IEEE transactions on visualization and computer graphics · 2023
    Article
  6. 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

2 authors.

Sehi LYi
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
Grammar-Driven Genomic Data VisualizationR01HG011773 · NHGRI · HARVARD MEDICAL SCHOOL · PI GEHLENBORG, NILS · 2022 to 2025
$2.3M
NCI NIH HHS U01 CA200059NCI NIH HHS U24 CA237617NHGRI NIH HHS R01 HG011773NHGRI NIH HHS UM1 HG011536
6 · The paper itself

Abstract

A series of recent studies has focused on designing cross-resolution and cross-device visualizations, i.e., responsive visualization, a concept adopted from responsive web design. However, these studies mainly focused on visualizations with a single view to a small number of views, and there are still unresolved questions about how to design responsive multi-view visualizations. In this paper, we present a reusable and generalizable framework for designing responsive multi-view visualizations focused on genomics data. To gain a better understanding of existing design challenges, we review web-based genomics visualization tools in the wild. By characterizing tools based on a taxonomy of responsive designs, we find that responsiveness is rarely supported in existing tools. To distill insights from the survey results in a systematic way, we classify typical view composition patterns, such as "vertically long," "horizontally wide," "circular," and "cross-shaped" compositions. We then identify their usability issues in different resolutions that stem from the composition patterns, as well as discussing approaches to address the issues and to make genomics visualizations responsive. By extending the Gosling visualization grammar to support responsive constructs, we show how these approaches can be supported. A valuable follow-up study would be taking different input modalities into account, such as mouse and touch interactions, which was not considered in our study.

Indexed as

Data VisualizationGenomicsComputer Graphics

Identifiers

PMID36166553
PMCPMC10040461

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table measurements read1
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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.