Medical Systems Biology

You are here:  Software > VennMaster > 1. Installation

1. Installation

The software requires the Java runtime environment >=1.5.0 (JRE 5.0) which can be downloaded from oracle.

  1. Install JRE 5.0 (1.5.0) or higher if it is not available on your system.
  2. Download the current VennMaster version and unpack the file into a directory.
  3. Start VennMaster by
    • Windows: Double click on venn.bat in the installation directory.
    • Unix/Linux/MacOS X: Call venn.sh from the command line (ensure that your java executable is in the search path) in the installation directory.
    Hint: It is not recommended to call VennMaster by a direct click on the venn.jar file since the standard memory assignment is too low for the most Euler arrangements.

VennMaster is packed into a single zip archive which must be unzipped into the desired directory (e.g. "C:\Program Files\" or your home directory). Call venn.sh in the VennMaster directory from the command line (Linux or Mac OS X) or double click venn.bat under Microsoft Windows in the file explorer.
When using many categories VennMaster may report an out of memory error. In these cases reduce the number of categories by specifying other import filter settings or open venn.sh (Linux or Mac OS X) or venn.bat (Windows) with a text editor (e.g. vi or notepad) and change the memory size by editing the two -X options of the java call. The -X options specify the memory size (in MB) assigned to the software. These can be adapted depending on the available memory and the problem size (number of categories/elements). The standard settings are usually too small for the most problems (2MB for Sun Java 1.5 on linux and 1MBon win).

Download

VennMaster_0.38.0.zip (Version 0.37.5)

Version history

VennMaster-0.37.5.zip (Version 0.37.5)
VennMaster-0.37.4.zip (Version 0.37.4)
VennMaster-0.37.3.zip (Version 0.37.3)
VennMaster-src-0.37.3-20080219.zip (Source code version 0.37.3)
VennMaster-0.37.2.zip (Version 0.37.2)
VennMaster-src-0.37.2-20080110.zip (Source code version 0.37.2)
VennMaster-0.37.0.zip (Version 0.37.0)
VennMaster-src-0.37.0-20071119.zip (Sour ce code version 0.37.0)
VennMaster-0.36.0.zip (Version 0.36.0)
VennMaster-src-0.36.0-20070907.zip (Source code version 0.36.0)
VennMaster-0.35.0.zip (Version 0.35.0)

VennMaster-src-0.35.0-20070806.zip (Source code version 0.35.0)

Sources

VennMaster sources are maintained at GitHub. Visit the groups development page at https://github.com/sysbio-ulm/

License

VennMaster and the VennMaster source code are licensed under a

Creative Commons License 
This work is licensed under a Creative Commons Attribution-Noncommercial 3.0 License.

 

Latest News

 

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.

 

Our paper "Unsupervised domain adaptation for the detection of cardiomegaly in cross-domain chest X-ray images" has been published in Frontiers in Artificial Intelligence.

 

  1. "The HLA ligandome of oropharyngeal squamous cell carcinomas reveals shared tumour-exclusive peptides for semi-personalised vaccination" has been published online first in the British Journal of Cancer.

 

"Vaccine Side Effects in Health Care Workers after Vaccination against SARS-CoV-2: Data from TüSeRe:exact Study" has been published in Viruses-Basel.

 

"PREDICT-juvenile-stroke: PRospective evaluation of a prediction score determining individual clinical outcome three months after ischemic stroke in young adults – a study protocol" has been published in BMC Neurology.

 

Our paper "Federated Electronic Data Capture (fEDC): Architecture and Prototype" has been accepted for publiaction in the Journal of Biomedical Informatics.

 

Our paper "Efficient cross-valdation traversals in feature subset selection" has been published in Scientific Reports.

 

Our paper "CANTATA - prediction of missing links in Boolean networks using genetic programming" has been published in Bioinformatics.

 

Our paper "Interaction Empowerment in Mobile Health: Concepts, Challenges, and Perspectives" has been published in the Journal of Medical Internet Research mhealth and uhealth.

 

Our paper "Identification of dynamic driver sets controlling phenotypical landscapes" has been published in the Computational and Structural Biotechnology Journal.