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national resource for network biology national resource for network biology research projects tools training collaboration research highlights analyze your genes with ndex iquery what is nrnb the aim of the national resource for network biology nrnb is to advance the new science of biological networks through analytic tools visualizations databases and computing resources biomedical research is increasingly dependent on knowledge of biological networks of multiple types and scales including gene protein and drug interactions cell cell and cell host communication and vast social networks our technologies enable researchers to assemble and analyze these networks and to use them to better understand biological systems and in particular how they fail in disease nrnb leverages the cytoscape cyberinfrastructure a widely used network analysis platform which we further support through a rich set of tutorials workshops 24 7 help desk assistance and over 100 collaboration and service projects we are developing freely available open source software technologies to enable network based visualization analysis and biomedical discovery we are driving research and development projects coordinating training opportunities and actively seeking new collaborations to develop nrnb tools and apply them to biomedical research research highlights network approach to building gene ontologies nexo the network extracted ontology uses a principled computational approach which integrates evidence from hundreds of thousands of individual gene and protein interactions to construct a complete hierarchy of cellular components and processes this data derived ontology aligns with known biological machinery in the go database and also uncovers many new structures network based stratification of tumor mutations nbs is a method for stratification clustering of patients in a cancer cohort based on somatic mutations and a gene interaction network the method uses network propagation to integrate genome wide somatic mutation profiles for each patient over a gene interaction network and a non negative matrix factorization based clustering approach in order to derive biologically meaningful stratification of a patient cohort cytoscape app store the overarching goals of the cytoscape app store are to highlight the important features apps add to cytoscape to enable researchers to find apps they need and for developers to promote their apps the cytoscape app store highlights the important features that apps add to cytoscape enable researchers to find and install apps they need and help developers promote their apps network analysis tools our research programs are exploring an array of new approaches to network analysis such as how to use molecular networks to stratify cancer patient genomes network based stratification or how to assemble a gene ontology of the cell directly from molecular network data nexontology org in recent years we have released a number of widely used network analysis resources including the cancer biology portal cbioportal org the genemania network database genemania org and the cytoscape appstore apps cytoscape org recent nrnb publications