Zhao Min, Liu Di, Qu Hong
Brief Funct Genomics. 2017 May 1;16(3):121-128. doi: 10.1093/bfgp/elw012.
High-throughput next-generation sequencing (NGS) technologies have rapidly generated a large volume of genomic data. To aid the development and evaluation of new statistical models and computational methods, NGS-based simulators have been proposed to construct better experimental workflows. However, the comparative performance of these NGS simulators remains unclear. In this review, we conducted a comprehensive investigation of NGS simulators for various sequencing techniques, including DNA sequencing, metagenomic sequencing, RNA-seq, ChIP-seq and bisulfite sequencing for methylation.
高通量下一代测序（NGS）技术迅速产生了大量基因组数据。为了辅助新统计模型和计算方法的开发与评估，人们提出了基于NGS的模拟器来构建更好的实验工作流程。然而，这些NGS模拟器的比较性能仍不明确。在本综述中，我们对用于各种测序技术的NGS模拟器进行了全面研究，包括DNA测序、宏基因组测序、RNA测序、染色质免疫沉淀测序（ChIP-seq）以及用于甲基化的亚硫酸氢盐测序。
