%0 Journal Article %A Steven Xijin Ge %A Eun Wo Son %T Gaining insights from RNA-Seq data using iDEP %D 2018 %R 10.1101/148411 %J bioRxiv %P 148411 %X The analysis and interpretation of the RNA-Seq data can be time-consuming and challenging. We aim to streamline the bioinformatic analyses of gene-level data by developing a user-friendly web application for exploratory data analysis, differential expression, and pathway analysis. iDEP (integrated Differential Expression and Pathway analysis) seamlessly connects 63 R/Bioconductor packages, 208 annotation databases for plant and animal species, and 2 web services. The workflow can be reproduced by downloading customized R code and related files. As demonstrated by two examples, iDEP (http://ge-lab.org/idep/) democratizes access to bioinformatics resources and empowers biologists to easily gain actionable insights from transcriptomic data. %U https://www.biorxiv.org/content/biorxiv/early/2018/04/20/148411.full.pdf