“…Hundreds of genome simulation methods and tools have been developed (Peng et al, 2018), which can be divided into three broad groups: (1) coalescent simulators for population genomes evolving under particular evolutionary models (Carvajal-Rodríguez, 2008), such as GENOME (Liang et al, 2007), GeneEvolve (Tahmasbi and Keller, 2017), and SFS_CODE (Uricchio et al, 2015); (2) simulation tools for case-control GWAS data, such as simGWA (Yang and Gu, 2013), simGWAS (Fortune and Wallace, 2018), GWAsimulator (Li and Li, 2007), and TraidSim (Shi et al, 2018); and (3) simulators for various types of genome variants and sequences, such as FIGG, simuG, VST, VarSim, Xome-Blender, and SVEngine. FIGG generates large numbers of whole genomes with known sequence characteristics based on the direct sampling of experimentally known or theorized variations (Killcoyne and del Sol, 2014). simuG simulates SNPs, Indels, CNVs, Inversions, and Translocations for different organisms (Yue and Liti, 2019).…”