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

作者:Russo Francesco; Righelli Dario; Angelini Claudia
来源:Biomed Research International, 2016, 2016: 7972351.
DOI:10.1155/2016/7972351

摘要

<jats:p>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<jats:italic>reproducible research</jats:italic>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.</jats:p>

  • 出版日期2016