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. 2019 Dec 20;20(Suppl 24):670. doi: 10.1186/s12859-019-3251-1

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© The Author(s). 2019

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 2 — The overall design of the BISR RNASeq shiny app. a Data gathering: The 3 inputs files that BISR shiny app takes as inputs (1) config.json file, that defines the shiny UI (2) a .Rds object generated by custom R script run on RNAseq pipeline output (3) files relevant to the project that are generated as Rmarkdown or html files. These three items are sent into the app which is made up of the following components b A screen shot of BISR RNAseq report