A walking tour in Reproducible Research and Big Data Management with RNASeqGUI and R.

In this paper, we discuss the concept of Reproducible Research and its importance to produce transparent and high quality scientific papers. In particular, we illustrate the advantages that both paper authors and readers can receive from the adoption of Reproducible Research and we discuss a strategy to develop computational tools supporting such a feature. We present a novel version of RNASeqGUI, a user friendly computational tool capable to handle and analyse RNA-Seq data. This tool exploits Reproducible Research feature to produce RNA-Seq analyses easy to read, inspect, understand, study, reproduce and modify. Overall, this paper is a proof of concept on how it is possible to develop complex and interactive tools in the spirit of Reproducible Research.