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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. 1 — Schematic workflow of RNAseq pipeline. A list of fastq files and locations of necessary reference files are fed into config file which spawns a workflow run job for each sample. Results are gathered into an R data object and differential expression is calculated through provided R code. Visualization is provided through R shiny app