Gene networks are one of the main computational models used to study the interaction between different elements during biological processes being widely used to represent gene-gene, or protein-protein interaction complexes. We present GFD-Net, a Cytoscape app for visualizing and analyzing the functional dissimilarity of gene networks.

CytoSEED is a Cytoscape plugin for viewing, manipulating and analyzing metabolic models created using the Model SEED. The CytoSEED plugin enables users of the Model SEED to create informative visualizations of the reaction networks generated for their organisms of interest. These visualizations are useful for understanding organism-specific biochemistry and for highlighting the results of flux ...

INTRODUCTION The high complexity and dynamic nature of the regulation of gene expression, protein synthesis, and protein activity pose a challenge to fully understand the cellular machinery. By deciphering the role of important players, including transcription factors, microRNAs, or small molecules, a better understanding of key regulatory processes can be obtained. Various databases contain in...

Cytoscape’s primary mission is to support the analysis and visualization of networks that describe biological processes and structure. As networks have become more useful and relevant over the last decade, Cytoscape usage has mushroomed – 3,000 startups per day and 14,000 downloads per month worldwide. Predictably, as network analysis has become more common, we have seen more demand for novel a...

Protein complexes are groups of interacting proteins unified by a common biological function. Identifying complexes amid a network of thousands of interacting proteins poses a difficult computational challenge. Traditional approaches to this problem rely on clique-like topography in order to identify complexes. Supervised learning is an alternative approach that leverages real-valued data in or...