AMPLICON dataset from 9 SARS-CoV-2 representative sequences

This dataset comprises > 100 paired-end whole genome sequencing (WGS) data generated from nine representative SARS-CoV-2 sequences (IDs: LR991699,MW617687,MW763128,MW972888,OD913776,OM873778,OM898676,OU015160,OV754178) obtained from the COVID-19 data portal (https://www.covid19dataportal.org). The WGS datasets were created using InSilicoSeq (v. 2.0.1, https://github.com/HadrienG/InSilicoSeq) to simulate an Artic Amplicon v.4.1 sequencing. For each representative sequence, we generated datasets with three different error models (HiSeq, NovaSeq, MiSeq) and read lengths (125, 150, 300 bps respectively) using the --model parameter (HiSeq, NovaSeq, MiSeq, see: https://insilicoseq.readthedocs.io/en/latest/iss/model.html). The datasets cover a range of sequencing depths, including 101x-1000x, 1001x-10000x, 10001x-100000x and greater than 100000x. Each FASTQ file name contains information on the representative sequence ID, the InSilicoSeq error model used, and the required coverage (i.e., ID.model.coverage.fastq.gz).