Protein networks are usually used to describe the interacting behaviours of complex biosystems. Bioinformatics must be able to provide methods to mine protein undirected networks and to infer subnetworks of interacting proteins for identifying relevant biological pathways. Here we present FunMod an innovative Cytoscape version 2.8 plugin able to identify biologically significant sub-networks within informative protein networks, enabling new opportunities for elucidating pathways involved in diseases. Moreover FunMod calculates three topological coefficients for each subnetwork, for a better understanding of the cooperative interactions between proteins and discriminating the role played by each protein within a functional module. FunMod is ...
The majority of the current methods for identifying modules in protein interaction networks are base...
The increasing availability of biological networks (proteinprotein interaction graphs, metabolic and...
Background: Module detection algorithms relying on modularity maximization suffer from an inherent r...
Protein networks are usually used to describe the interacting behaviours of complex biosystems. Bioi...
AbstractThe characterization of the interacting behaviors of complex biological systems is a primary...
The characterization of the interacting behaviors of complex biological systems is a primary objecti...
The characterization of the interacting behaviors of complex biological systems is a primary objecti...
Recent studies have suggested that molecular interaction networks within cells could be decomposed i...
Systems biology offers a holistic perspective where individual proteins are viewed as elements in a ...
Advances in high-throughput techniques have enabled researchers to produce large-scale data on molec...
Background. The molecular profiles exhibited in different cancer types are very different; hence, di...
Mapping the complete set of protein and gene interactions in the human cell has been a goal of the b...
Background It is generally acknowledged that a functional understanding of a biological system ca...
Studying protein interaction networks using functional and topological information is important for ...
Protein-protein interaction (PPI) networks serve as a powerful tool for unraveling protein functions...
The majority of the current methods for identifying modules in protein interaction networks are base...
The increasing availability of biological networks (proteinprotein interaction graphs, metabolic and...
Background: Module detection algorithms relying on modularity maximization suffer from an inherent r...
Protein networks are usually used to describe the interacting behaviours of complex biosystems. Bioi...
AbstractThe characterization of the interacting behaviors of complex biological systems is a primary...
The characterization of the interacting behaviors of complex biological systems is a primary objecti...
The characterization of the interacting behaviors of complex biological systems is a primary objecti...
Recent studies have suggested that molecular interaction networks within cells could be decomposed i...
Systems biology offers a holistic perspective where individual proteins are viewed as elements in a ...
Advances in high-throughput techniques have enabled researchers to produce large-scale data on molec...
Background. The molecular profiles exhibited in different cancer types are very different; hence, di...
Mapping the complete set of protein and gene interactions in the human cell has been a goal of the b...
Background It is generally acknowledged that a functional understanding of a biological system ca...
Studying protein interaction networks using functional and topological information is important for ...
Protein-protein interaction (PPI) networks serve as a powerful tool for unraveling protein functions...
The majority of the current methods for identifying modules in protein interaction networks are base...
The increasing availability of biological networks (proteinprotein interaction graphs, metabolic and...
Background: Module detection algorithms relying on modularity maximization suffer from an inherent r...