RT Journal Article SR Electronic T1 ReNette: a web-infrastructure for reproducible network analysis JF bioRxiv FD Cold Spring Harbor Laboratory SP 008433 DO 10.1101/008433 A1 M. Filosi A1 S. Droghetti A1 E. Arbitrio A1 R. Visintainer A1 S. Riccadonna A1 G. Jurman A1 C. Furlanello YR 2014 UL http://biorxiv.org/content/early/2014/08/27/008433.abstract AB Summary Here we introduce a novel web-infrastructure for differential network analysis. The aim of the web-site is to provide a comprehensive collection of tools for network inference, network comparison and network reproducibility analysis. Four main processes are available through the web service: the network inference process which include 11 reconstruction algorithms, the network distance process with 3 available metrics, the network stability process which includes all the network reconstruction methods and network distances and the netwok statistic process which computes the most common measures for network characterization. We introduce here a novel infrastructure which allows the user-interface logic to be separated from computing services and the asynchronous task management. Task submission is implemented mimicking the high performance computing queue submission system which allows to run multiple jobs without affecting the front-end server.Availability and Implementation The web-site is available at https://renette.fbk.eu, the implementation is based on the django framework and Apache, with all major browsers supported. Furthermore, the whole project is Open Source under GPLv2 and the code is available on GitHub at https://github.com/MPBA/renette for local installation.Contact jurman{at}fbk.eu;