SNOW, a web-based tool for the statistical analysis of protein-protein interaction networks Export

@article{citeulike:4565529, abstract = {Understanding the structure and the dynamics of the complex intercellular network of interactions that contributes to the structure and function of a living cell is one of the main challenges of today's biology. SNOW inputs a collection of protein (or gene) identifiers and, by using the interactome as scaffold, draws the connections among them, calculates several relevant network parameters and, as a novelty among the rest of tools of its class, it estimates their statistical significance. The parameters calculated for each node are: connectivity, betweenness and clustering coefficient. It also calculates the number of components, number of bicomponents and articulation points. An interactive network viewer is also available to explore the resulting network. SNOW is available at http://snow.bioinfo.cipf.es. 10.1093/nar/gkp402}, author = {Minguez, Pablo and Gotz, Stefan and Montaner, David and Al-Shahrour, Fatima and Dopazo, Joaquin}, citeulike-article-id = {4565529}, citeulike-linkout-0 = {http://dx.doi.org/10.1093/nar/gkp402}, citeulike-linkout-1 = {http://nar.oxfordjournals.org/cgi/content/abstract/37/suppl_2/W109}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/19454602}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=19454602}, day = {1}, doi = {10.1093/nar/gkp402}, issn = {1362-4962}, journal = {Nucl. Acids Res.}, keywords = {interaction-graphs, interaction-networks, protein-protein-interactions, proteins, visual}, month = {July}, number = {suppl\_2}, pages = {W109--114}, posted-at = {2009-07-03 22:34:44}, priority = {2}, title = {SNOW, a web-based tool for the statistical analysis of protein-protein interaction networks}, url = {http://dx.doi.org/10.1093/nar/gkp402}, volume = {37}, year = {2009} }

TY - JOUR ID - citeulike:4565529 L3 - citeulike-article-id:4565529 N2 - Understanding the structure and the dynamics of the complex intercellular network of interactions that contributes to the structure and function of a living cell is one of the main challenges of today's biology. SNOW inputs a collection of protein (or gene) identifiers and, by using the interactome as scaffold, draws the connections among them, calculates several relevant network parameters and, as a novelty among the rest of tools of its class, it estimates their statistical significance. The parameters calculated for each node are: connectivity, betweenness and clustering coefficient. It also calculates the number of components, number of bicomponents and articulation points. An interactive network viewer is also available to explore the resulting network. SNOW is available at http://snow.bioinfo.cipf.es. 10.1093/nar/gkp402 IS - suppl_2 JF - Nucl. Acids Res. SN - 1362-4962 EP - 114 TI - SNOW, a web-based tool for the statistical analysis of protein-protein interaction networks VL - 37 SP - W109 KW - interaction-graphs KW - interaction-networks KW - protein-protein-interactions KW - proteins KW - visual AU - Minguez, Pablo AU - Gotz, Stefan AU - Montaner, David AU - Al-Shahrour, Fatima AU - Dopazo, Joaquin PY - 2009/07/01/ UR - http://dx.doi.org/10.1093/nar/gkp402 ER -