Objectives: To analyze a training program in accident prevention and care and Pediatric Basic Cardiopulmonary Resuscitation taught by medical students.
Results: Medical students were trained as instructors. Four courses of were launched in Honduras, and the results were analyzed through a theoretical and practical evaluation and an anonymous survey.
Background And Scope: Large networks, such as protein interaction networks, are extremely difficult to analyze as a whole. We developed Clust&See, a Cytoscape plugin dedicated to the identification, visualization and analysis of clusters extracted from such networks.
Implementation And Performance: Clust&See provides the ability to apply three different, recently developed graph clustering algorithms to networks and to visualize: (i) the obtained partition as a quotient graph in which nodes correspond to clusters and (ii) the obtained clusters as their corresponding subnetworks.