Shiny-Seq: advanced guided transcriptome analysis.

We present the tool Shiny-Seq, which provides a guided and easy to use comprehensive RNA-Seq data analysis pipeline. It has many features such as batch effect estimation and removal, quality check with several visualization options, enrichment analysis with multiple biological databases, identification of patterns using advanced methods such as weighted gene co-expression network analysis, summarizing analysis as power point presentation and all results as tables via a one-click feature. The source code is published on GitHub ( https://github.com/schultzelab/Shiny-Seq ) and licensed under GPLv3. Shiny-Seq is written in R using the Shiny framework. In addition, the application is hosted on a public website hosted by the shinyapps.io server ( https://schultzelab.shinyapps.io/Shiny-Seq/ ) and as a Docker image https://hub.docker.com/r/makaho/shiny-seq .