Simplicity DiffExpress : A Bespoke Cloud-Based Interface for RNA-seq Differential Expression Modeling and Analysis

• Published in: Frontiers in genetics 2019-05, Vol.10, p.356-356
• Main Authors: Palu, Cintia C, Ribeiro-Alves, Marcelo, Wu, Yanxin, Lawlor, Brendan, Baranov, Pavel V, Kelly, Brian, Walsh, Paul
• Format: Article
• Language: English
• Subjects: differential expression analysis; differential gene expression; edgeR; Genetics; RNA-seq; statistical modeling; transcriptomics
• ISSN: 1664-8021; 1664-8021
• DOI: 10.3389/fgene.2019.00356

One of the key challenges for transcriptomics-based research is not only the processing of large data but also modeling the complexity of features that are sources of variation across samples, which is required for an accurate statistical analysis. Therefore, our goal is to foster access for wet lab researchers to bioinformatics tools, in order to enhance their ability to explore biological aspects and validate hypotheses with robust analysis. In this context, user-friendly interfaces can enable researchers to apply computational biology methods without requiring bioinformatics expertise. Such bespoke platforms can improve the quality of the findings by allowing the researcher to freely explore the data and test a new hypothesis with independence. is a data-driven software platform dedicated to enabling non-bioinformaticians to take ownership of the differential expression analysis (DEA) step in a transcriptomics experiment while presenting the results in a comprehensible layout, which supports an efficient results exploration, information storage, and reproducibility. key component is the bespoke statistical model validation that guides the user through any necessary alteration in the dataset or model, tackling the challenges behind complex data analysis. The software utilizes , and it is implemented as part of the Simplicity platform, providing a dynamic interface, with well-organized results that are easy to navigate and are shareable. Computational biologists and bioinformaticians can also benefit from its use since the data validation is more informative than the usual DEA resources. Wet-lab collaborators can benefit from receiving their results in an organized interface. is freely available for academic use, and it is cloud-based (https://simplicity.nsilico.com/dea).