TY - JOUR T1 - CINNA: Deciphering Central Informative Nodes in Network Analysis JF - bioRxiv DO - 10.1101/168757 SP - 168757 AU - Minoo Ashtiani AU - Mohieddin Jafari Y1 - 2017/01/01 UR - http://biorxiv.org/content/early/2017/07/26/168757.abstract N2 - Motivation With the advancement of data mining technology, created networks from various contexts become more complex and larger, which makes them more difficult to figure out. Recognizing nodes that can influence on the whole network, helps us to comprehend networks easier and faster and so facilitates the process of network analysis. Since several criteria based on the network topological features are defined for identifying influential nodes, we need to know which measure rightfully points at the central nodes in special network.Results The CINNA R package conveniently has brought together all required methods for network centrality analysis. It contains network component segregation, calculation and prioritizing centralities, along with clustering and visualization functions.Availability CINNA package is freely available from the R project at http://cran.r-proiect.org/, http://jafarilab-pasteur.com/content/software/CINNA.html.Contact m_jafari{at}pasteur.ac.ir ER -