Webliography

1. https://www.bioconductor.org/packages/devel/workflows/vignettes/rnaseqGene/inst/doc/rnaseqGene.html

2. https://bioinformatics-core-shared-training.github.io/RNAseq-R/

Journals

1. Wang, Z., Gerstein, M. and Snyder, M., 2009. RNA-Seq: a revolutionary tool for transcriptomics. Nature reviews genetics, 10(1), pp.57-63.

2. Morin, R.D., Bainbridge, M., Fejes, A., Hirst, M., Krzywinski, M., Pugh, T.J., McDonald, H., Varhol, R., Jones, S.J. and Marra, M.A., 2008. Profiling the HeLa S3 transcriptome using randomly primed cDNA and massively parallel short-read sequencing. Biotechniques, 45(1), pp.81-94.

3. Van Den Berge K. et al, 2018. RNA sequencing data: hitchhiker’s guide to expression analysis. PeerJ Preprints 6:e27283v2

4. Love MI. et al, 2016. RNA-Seq workflow: gene-level exploratory analysis and differential expression. F1000Research, 4:1070