Manz Quirin, Tsoy Olga, Fenn Amit, Baumbach Jan, Völker Uwe, List Markus, Kacprowski Tim
Chair of Experimental Bioinformatics, TUM School of Life Sciences Weihenstephan, Technical University of Munich, 85354 Freising, Germany.
Department of Mathematics and Computer Science, University of Southern Denmark, 5230 Odense, Denmark.
Bioinformatics. 2021 Sep 29;37(18):3008-3010. doi: 10.1093/bioinformatics/btab142.
A plethora of tools exist for RNA-Seq data analysis with a focus on alternative splicing (AS). However, appropriate data for their comparative evaluation is missing. The R package ASimulatoR simulates gold standard RNA-Seq datasets with fine-grained control over the distribution of AS events, which allow for evaluating alternative splicing tools, e.g. to study the effect of sequencing depth on the performance of AS event detection.
ASimulatoR is freely available at https://github.com/biomedbigdata/ASimulatoR as an R package under GPL-3 license.
存在大量用于RNA测序数据分析的工具，这些工具侧重于可变剪接（AS）。然而，缺少用于它们比较评估的合适数据。R包ASimulatoR可模拟金标准RNA测序数据集，并对可变剪接事件的分布进行细粒度控制，这有助于评估可变剪接工具，例如研究测序深度对可变剪接事件检测性能的影响。
ASimulatoR可在https://github.com/biomedbigdata/ASimulatoR上免费获取，作为一个遵循GPL-3许可的R包。
