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An approach for assessing uncertainty in the definition of gene sets. This is an essential step when new gene sets are constructed from domain knowledge or given gene sets are suspected to be affected by uncertainty. Quantification of uncertainty is implemented in the R-package GiANT. We also included widely used GSA methods, embedded in a generic framework that can readily be extended by custom methods. The package provides an easy to use front end and allows for fast parallelisation.

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GiANT classification

GiANT specifications

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Command line interface
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Unix/Linux, Mac OS, Windows
Artistic License version 2.0

GiANT distribution


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GiANT support



  • Hans A. Kestler <>


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Institute of Medical Systems Biology, Ulm University, Ulm, Germany; Institut für Medizinische Biometrie, Informatik und Epidemiologie, Universität Bonn, Bonn, Germany; Institute of Experimental Cancer Research, Ulm University, Ulm, Germany; Department of Internal Medicine III, Ulm University, Ulm, Germany; Leibniz Institute on Ageing – Fritz Lipmann Institute and FSU Jena, Jena, Germany

Funding source(s)

The research leading to these results received funding from the European Community’s Seventh Framework Programme (FP7/2007–2013) under grant agreement no. 602783, the DFG (SFB 1074 project Z1), and the German Federal Ministry of Education and Research (BMBF, Gerontosys II, Forschungskern SyStaR, project ID 0315894A).

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