Bacteria of the genusSalmonellapose a major risk to livestock, the food economy, and public health.Salmonellainfections are one of the leading causes of food poisoning. The identification of serovars ofSalmonellaachieved by their diverse surface antigens is essential to gain information on their epidemiological context. Traditionally, slide agglutination has been used for serotyping. In recent years, whole-genome sequencing (WGS) followed byin silicoserotyping has been established as an alternative method for serotyping and the detection of genetic markers forSalmonella. Until now, WGS data generated with Illumina sequencing are used to validatein silicoserotyping methods. Oxford Nanopore Technologies (ONT) opens the possibility to sequence ultra-long reads and has frequently been used for bacterial sequencing. In this study, ONT sequencing data of 28Salmonellastrains of different serovars with epidemiological relevance in humans, food, and animals were taken to investigate the performance of thein silicoserotyping tools SISTR and SeqSero2 compared to traditional slide agglutination tests. Moreover, the detection of genetic markers for resistance against antimicrobial agents, virulence, and plasmids was studied by comparing WGS data based on ONT with WGS data based on Illumina. Based on the ONT data from flow cell version R9.4.1,in silicoserotyping achieved an accuracy of 96.4 and 92% for the tools SISTR and SeqSero2, respectively. Highly similar sets of genetic markers comparing both sequencing technologies were identified. Taking the ongoing improvement of basecalling and flow cells into account, ONT data can be used forSalmonella in silicoserotyping and genetic marker detection.