Simulated equine WGS with realistic population allele frequency and genotype
Artificial DNA sequence reads representing 90 simulated equine genomes to serve as a benchmark dataset for validating genomic processing tools and methods in future studies. We show that these simulated genomes share important characteristics with empirical genomes, including the distribution of quality scores across reads, genetic variants across the genome, and variant annotation values, and that popular WGS bioinformatic tools can process the simulated sequences. New simulations improved the allele frequency distribution across the entire simulated dataset and allowed for homozygous and heterozygous variants.
Artificial DNA sequence reads representing 90 simulated equine genomes to serve as a benchmark dataset for validating genomic processing tools and methods in future studies. We show that these simulated genomes share important characteristics with empirical genomes, including the distribution of quality scores across reads, genetic variants across the genome, and variant annotation values, and that popular WGS bioinformatic tools can process the simulated sequences. New simulations improved the allele frequency distribution across the entire simulated dataset and allowed for homozygous and heterozygous variants.