title: Advancements in RNASeqGUI towards a Reproducible Analysis of RNA-Seq Experiments.
abstract: We present the advancements and novelties recently introduced in RNASeqGUI, a graphical user interface that helps biologists to handle and analyse large data collected in RNA-Seq experiments. This work focuses on the concept of reproducible research and shows how it has been incorporated in RNASeqGUI to provide reproducible (computational) results. The novel version of RNASeqGUI combines graphical interfaces with tools for reproducible research, such as literate statistical programming, human readable report, parallel executions, caching, and interactive and web-explorable tables of results. These features allow the user to analyse big datasets in a fast, efficient, and reproducible way. Moreover, this paper represents a proof of concept, showing a simple way to develop computational tools for Life Science in the spirit of reproducible research.
authors.affiliation: Istituto per le Applicazioni del Calcolo, CNR, 80131 Napoli, Italy.
authors.forename: Francesco
authors.initials: F
authors.lastname: Russo
authors.affiliation: Istituto per le Applicazioni del Calcolo, CNR, 80131 Napoli, Italy.
authors.forename: Dario
authors.initials: D
authors.lastname: Righelli
authors.affiliation: Istituto per le Applicazioni del Calcolo, CNR, 80131 Napoli, Italy.
authors.forename: Claudia
authors.identifier: 0000-0001-8350-8464
authors.initials: C
authors.lastname: Angelini
mesh_terms: D019295:Computational Biology; D006801:Humans; D020407:Internet; D012313:RNA / Q000235:genetics*; D017423:Sequence Analysis, RNA / Q000379:methods*; D012984:Software; D014584:User-Computer Interface
chemical_list: D012313:RNA