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.
Anno
2016
Autori IAC
Tipo pubblicazione
Altri Autori
Russo, Francesco; Righelli, Dario; Angelini, Claudia
Editore
Hindawi Publishing Corporation
Rivista
BioMed Research International (Print)