articleBMC GenomicsJan 1, 2008GOLD OA

BioVenn – a web application for the comparison and visualization of biological lists using area-proportional Venn diagrams

Radboud University Medical Center · Radboud University Nijmegen

PubMed
Indexed incrossrefdoajpubmed

Abstract

Background

In many genomics projects, numerous lists containing biological identifiers are produced. Often it is useful to see the overlap between different lists, enabling researchers to quickly observe similarities and differences between the data sets they are analyzing. One of the most popular methods to visualize the overlap and differences between data sets is the Venn diagram: a diagram consisting of two or more circles in which each circle corresponds to a data set, and the overlap between the circles corresponds to the overlap between the data sets. Venn diagrams are especially useful when they are 'area-proportional' i.e. the sizes of the circles and the overlaps correspond to the sizes of the data sets. Currently there are no programs available that can create area-proportional Venn diagrams connected to a wide range of biological databases.

Results

We designed a web application named BioVenn to summarize the overlap between two or three lists of identifiers, using area-proportional Venn diagrams. The user only needs to input these lists of identifiers in the textboxes and push the submit button. Parameters like colors and text size can be adjusted easily through the web interface. The position of the text can be adjusted by 'drag-and-drop' principle. The output Venn diagram can be shown as an SVG or PNG image embedded in the web application, or as a standalone SVG or PNG image. The latter option is useful for batch queries. Besides the Venn diagram, BioVenn outputs lists of identifiers for each of the resulting subsets. If an identifier is recognized as belonging to one of the supported biological databases, the output is linked to that database. Finally, BioVenn can map Affymetrix and EntrezGene identifiers to Ensembl genes.

Citation impact

1,780
total citations
FWCI
4.07
Percentile
100%
References
22
Citations per year

Authors

3

Topics & keywords

Keywords
  • Venn diagram
  • Identifier
  • Computer science
  • Diagram
  • Set (abstract data type)
  • Visualization
  • Information retrieval
  • Data mining
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Funding