Background#R##N#Biological networks have a growing importance for the interpretation of high-throughput “omics” data. Integrative network analysis makes use of statistical and combinatorial methods to extract smaller subnetwork modules, and performs enrichment analysis to annotate the modules with ontology terms or other available knowledge. This process results in an annotated module, which retains the original network structure and includes enrichment information as a set system. A major bottleneck is a lack of tools that allow exploring both network structure of extracted modules and its annotations.
['K Kasper Dinkla', 'Mohammed El-Kebir', 'Cristina-Iulia Bucur', 'Marco Siderius', 'Martine J. Smit', 'Michel A. Westenberg', 'Gunnar W. Klau']
eXamine: Exploring annotated modules in networks