JProGO specifications


Unique identifier OMICS_18770
Name JProGO
Alternative name Java Tool for the Functional Analysis of Prokaryotic Microarray Data using the Gene Ontology
Interface Web user interface
Restrictions to use None
Computer skills Basic
Stability No
Maintained Yes


  • person_outline Dieter Jahn

Publication for Java Tool for the Functional Analysis of Prokaryotic Microarray Data using the Gene Ontology

JProGO citations


Open source libraries and frameworks for biological data visualisation: A guide for developers

PMCID: 4409855
PMID: 25475079
DOI: 10.1002/pmic.201400377

[…] ions.In bioinformatics projects, a number of tools have been developed using JFreeChart [,]. For instance, SimBoolNet draws the changes of network nodes in a time series chart, and a scatter plot []. JProGO is a tool for functional interpretation of prokaryotic microarray data that uses JFreeChart to draw the expression profile of the genes belonging to a specific GO node. In proteomics, the PRIDE […]


Gene set analyses for interpreting microarray experiments on prokaryotic organisms

BMC Bioinformatics
PMCID: 2587482
PMID: 18986519
DOI: 10.1186/1471-2105-9-469

[…] g gene set analysis. The FIVA tool [] uses FET and a variant of FET proposed by Breitling et al. [] which finds the optimal cutoff for "significant" vs. "non-significant" genes for each gene set. The JProGo tool [] implements FET as well as three other non-cutoff based methods that compare the association measures (e.g. log-ratios) of genes in the gene set of interest with the association measures […]

JProGO institution(s)
Institute of Microbiology, Technische Universitat Braunschweig, Braunschweig, Germany; Institute of Biochemical Engineering, Technische Universitat Braunschweig, Braunschweig, Germany; Department of Computer Science, Fachhochschule Wolfenbuttel, Wolfenbuttel, Germany; Department of Bioinformatics, Technische Fachhochschule Berlin, Berlin, Germany
JProGO funding source(s)
Funded by the German Federal Ministry of Education and Research for the Bioinformatics Competence Center ‘Intergenomics’ (Grant No. 031U210D) and the Sonderforschungsbereich 573 (From Gene to Product).

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