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BioMed Research International
Volume 2016, Article ID 7972351, 11 pages
http://dx.doi.org/10.1155/2016/7972351
Research Article

Advancements in RNASeqGUI towards a Reproducible Analysis of RNA-Seq Experiments

Istituto per le Applicazioni del Calcolo, CNR, 80131 Napoli, Italy

Received 2 July 2015; Revised 11 December 2015; Accepted 3 January 2016

Academic Editor: Sílvia A. Sousa

Copyright © 2016 Francesco Russo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.