Evidence map›Paper›PMID 27716034›Full record

ArticleBMC bioinformatics2016

VennDiagramWeb: a web application for the generation of highly customizable Venn and Euler diagrams.

Felix Lam, Christopher M Lalansingh, Holly E Babaran, Zhiyuan Wang, Stephenie D Prokopec, Natalie S Fox, Paul C Boutros

Abstract read
In one paragraph

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 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–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

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. A vitamin BScience advances · 2026
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  16. A transcriptionally active lipid vesicle encloses the injectedbioRxiv : the preprint server for biology · 2024
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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

7 authors.

Felix LamInformatics and Biocomputing Program, Ontario Institute for Cancer Research, Toronto, Canada.
Christopher M LalansinghInformatics and Biocomputing Program, Ontario Institute for Cancer Research, Toronto, Canada.
Holly E BabaranInformatics and Biocomputing Program, Ontario Institute for Cancer Research, Toronto, Canada.
Zhiyuan WangInformatics and Biocomputing Program, Ontario Institute for Cancer Research, Toronto, Canada.
Stephenie D ProkopecInformatics and Biocomputing Program, Ontario Institute for Cancer Research, Toronto, Canada.
Natalie S FoxInformatics and Biocomputing Program, Ontario Institute for Cancer Research, Toronto, Canada.
Paul C BoutrosInformatics and Biocomputing Program, Ontario Institute for Cancer Research, Toronto, Canada. Paul.Boutros@oicr.on.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVisualization of data generated by high-throughput, high-dimensionality experiments is rapidly becoming a rate-limiting step in computational biology. There is an ongoing need to quickly develop high-quality visualizations that can be easily customized or incorporated into automated pipelines. This often requires an interface for manual plot modification, rapid cycles of tweaking visualization parameters, and the generation of graphics code. To facilitate this process for the generation of highly-customizable, high-resolution Venn and Euler diagrams, we introduce VennDiagramWeb: a web application for the widely used VennDiagram R package. VennDiagramWeb is hosted at http://venndiagram.res.oicr.on.ca/ .

resultsVennDiagramWeb allows real-time modification of Venn and Euler diagrams, with parameter setting through a web interface and immediate visualization of results. It allows customization of essentially all aspects of figures, but also supports integration into computational pipelines via download of R code. Users can upload data and download figures in a range of formats, and there is exhaustive support documentation.

conclusionsVennDiagramWeb allows the easy creation of Venn and Euler diagrams for computational biologists, and indeed many other fields. Its ability to support real-time graphics changes that are linked to downloadable code that can be integrated into automated pipelines will greatly facilitate the improved visualization of complex datasets. For application support please contact Paul.Boutros@oicr.on.ca.

Indexed as

Computer GraphicsData Interpretation, StatisticalSoftwareComputational BiologyDocumentationHumansInternetUser-Computer Interface

Identifiers

PMID27716034
PMCPMC5048655

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.