ReNette: a web-infrastructure for reproducible network analysis

Michele Filosi; Shamar Droghetti; Ernesto Arbitrio; Roberto Visintainer; Samantha Riccadonna; Giuseppe Jurman; Cesare Furlanello

doi:10.1101/008433

bioRxiv · 10.1101/008433

ReNette: a web-infrastructure for reproducible network analysis

Michele Filosi·Shamar Droghetti·Ernesto Arbitrio·Roberto Visintainer·Samantha Riccadonna·Giuseppe Jurman·Cesare Furlanello

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Abstract

SummaryHere 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.\n\nAvailability and ImplementationThe 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.\n\nContactjurman@fbk.eu;

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Michele Filosi, Shamar Droghetti, Ernesto Arbitrio, Roberto Visintainer, Samantha Riccadonna, Giuseppe Jurman, Cesare Furlanello. 2014-08-26. ReNette: a web-infrastructure for reproducible network analysis. https://doi.org/10.1101/008433

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