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VennMaster

A tool for drawing area proportional Euler diagrams.
 
VennMaster is a tool for drawing area proportional Venn/Euler-diagrams. It supports several input formats from simple tab seperated data to gene lists from GoMiner.
 
VennMaster will generate area proportional Venn diagrams for multiple sets. Since exact solutions seldomly exist for more than 3 sets, it will approximate a correct solution. VennMaster is great for assessing overlapping data at a glance, as well as for in depth analysis.
 

Please also see our corresponding publications:

Kestler HA, Müller A, Gress TM, Buchholz M. Generalized Venn Diagrams: A new method of visualizing complex genetic set relationsBioinformatics 21(8): 1592-1595, 2005.
 
Kestler HA, Müller A, Kraus JM, Buchholz M, Gress TM, Liu H, Kane DW, Zeeberg BR, Weinstein JN. VennMaster: Area-proportional Euler diagrams for functional GO analysis of microarraysBMC Bioinform 9(1): 67, 2008. https://doi.org/10.1186/1471-2105-9-67

 

Quick Download latest (0.38.2) version
 
Documentation:
1. Installation
2. Running VennMaster
3. Appendix

Job Openings

Wissenschaftlicher Mitarbeiter (m/w/d) 

 

Latest News

 

Our paper "GatekeepR: an R shiny application for the identification of nodes with high dynamic impact in boolean networks" has been published online first in Bioinformatics.

 

Our paper "The Necessity of Interoperability to Uncover the Full Potential of Digital Health Devices" has been published in JMIR Medical Informatics.

 

"Multicentric pilot study to standardize clinical whole exome sequencing (WES) for cancer patients" has been published in npj Precision Oncology.

 

Our paper "AMBAR-interactive alteration annotations for molecular tumor boards" has been published in Computer Methods and Programs in Biomedicine.

 

"A protocol for the use of cloud-based quantum computers for logical network analysis of biological systems" has been published in STAR Protocols.

 

Our paper "A systems biology approach to define mechanisms, phenotypes, and drivers in PanNETs with a personalized perspective" has been published in npj systems biology and applications.

 

"Supporting SURgery with GEriatric Co-Management and AI (SURGE-Ahead): A study protocol for the development of a digital geriatrician" has been published in PLoS One.

 

"Self-Assessment of Having COVID-19 With the Corona Check Mhealth App" has been published in IEEE Journal of Biomedical and Health Informatics.


Our first quantum computing paper "Leveraging quantum computing for dynamic analyses of logical networks in systems biology" has been published in Patterns.