TY - JOUR T1 - On the Analysis of Transcriptional Noise From RNA-sequencing Data JF - bioRxiv DO - 10.1101/2021.04.06.438605 SP - 2021.04.06.438605 AU - Kristoffer Vitting-Seerup Y1 - 2021/01/01 UR - http://biorxiv.org/content/early/2021/04/07/2021.04.06.438605.abstract N2 - RNA-sequencing (RNA-seq) has revolutionized our understanding of molecular and cellular biology. A central cornerstone in the analysis of RNA-seq is the bioinformatic tools that quantify the data. To evaluate the efficacy of these tools, scientists rely heavily on simulation of RNA-seq. Recently Varabyou et al. took simulation of RNA-seq data to the next level by providing simulated data, that includes simulation of transcriptional noise. While this represents a significant step forward in our ability to perform realistic benchmarks of RNA-seq tools, the data provided by Varabyou et al. need refinement. In the following, I suggest a few improvements with a specific focus on splicing noise.Preface I wrote this paper intending to submit it as a Commentary on the Varabyou et al. 2020 Genome Research paper1, but apparently, Genome Research does not publish correspondence-type articles. That is why it is currently on BioRxiv. If you have suggestions about where this paper could potentially be published do not hesitate to contact me.Competing Interest StatementThe authors have declared no competing interest. ER -