Data from: Use of long-read sequencing simulators to assess real-world applications for food safety

<p>Shiga toxin-producing <em>Escherichia coli</em> (STEC) and <em>Listeria monocytogenes</em> are responsible for severe foodborne illnesses in the United States. Current identification methods require at least four days to identify STEC and six days for <em>L. monocytogenes</em>. Adoption of long-read, whole genome sequencing for testing could significantly reduce the time needed for identification, but method development costs are high. Therefore, the goal of this project was to use NanoSim-H software to simulate Oxford Nanopore sequencing reads to assess the feasibility of sequencing-based foodborne pathogen detection and guide experimental design. Sequencing reads were simulated for STEC, <em>L. monocytogenes</em>, and a 1:1 combination of STEC and <em>Bos taurus</em> genomes using NanoSim-H. This dataset includes all of the simulated reads generated by the project in fasta format. This dataset can be analyzed bioinformatically or used to test bioinformatic pipelines. </p>