부산대학교 도서관

We posit the likely architecture of complex diseases is that subgroups of patients share variants in genes in specific networks which are sufficient to give rise to a shared phenotype. We developed Proteinarium, a multi-sample protein-protein interaction (PPI) tool, to identify clusters of patients with shared gene networks. Proteinarium converts user defined seed genes to protein symbols and maps them onto the STRING interactome. A PPI network is built for each sample using Dijkstra's algorithm. Pairwise similarity scores are calculated to compare the networks and cluster the samples. A layered graph of PPI networks for the samples in any cluster can be visualized. To test this newly developed analysis pipeline, we reanalyzed publicly available data sets, from which modest outcomes had previously been achieved. We found significant clusters of patients with unique genes which enhanced the findings in the original study. • Proteinarium is a multi-sample protein-protein interaction (PPI) tool to identify clusters of samples with shared networks. • Proteinarium provides useful analysis and visualizations. The Dendrogram and layered PPI network. • The dendrogram allows the user a global view of the distribution of samples into clusters. • In Proteinarium any branch of the dendrogram can be displayed as a layered PPI network of the samples within the cluster. [ABSTRACT FROM AUTHOR]