* D'Arcy, M., Chard, K., Foster, I., Kesselman, C., Madduri, R., Saint, N., & Wagner, R.. 2019. Big Data Bags: A Scalable Packaging Format for Science. Zenodo. doi:[10.5281/zenodo.3338725](http://doi.org/10.5281/zenodo.3338725).
4.**RSeQC**:
* Wang, L., Wang, S., Li, W. 2012 RSeQC: quality control of RNA-seq experiments. Bioinformatics. Aug 15;28(16):2184-5. doi:[10.1093/bioinformatics/bts356](https://doi.org/10.1093/bioinformatics/bts356).
* Liao, Y., Smyth, G.K., Shi, W. 2014 featureCounts: an efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics. Apr 1;30(7):923-30. doi:[10.1093/bioinformatics/btt656](https://doi.org/10.1093/bioinformatics/btt656).
10.**R**:
* R Core Team 2014. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL:[http://www.R-project.org/](http://www.R-project.org/).
11.**deeptools**:
* Ramírez, F., D. P. Ryan, B. Grüning, V. Bhardwaj, F. Kilpert, A. S. Richter, S. Heyne, F. Dündar, and T. Manke. 2016. deepTools2: a next generation web server for deep-sequencing data analysis. Nucleic Acids Research 44: W160-165. doi:[10.1093/nar/gkw257](http://dx.doi.org/10.1093/nar/gkw257)
* R Core Team 2014. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL:[http://www.R-project.org/](http://www.R-project.org/).
* Wang, L., Wang, S., Li, W. 2012 RSeQC: quality control of RNA-seq experiments. Bioinformatics. Aug 15;28(16):2184-5. doi:[10.1093/bioinformatics/bts356](https://doi.org/10.1093/bioinformatics/bts356).
13.**MultiQC**:
* Ewels P., Magnusson M., Lundin S. and Käller M. 2016. MultiQC: Summarize analysis results for multiple tools and samples in a single report. Bioinformatics 32(19): 3047–3048. doi:[10.1093/bioinformatics/btw354](https://dx.doi.org/10.1093/bioinformatics/btw354)