We follow a line of investigation in which we map epigenetic changes in response to exposure to infections and inflammatory disorders. We are collecting information on the DNA methylome using both array based and next generation sequencing techniques, generating large datasets. Our ambition is to identify patterns, or biosignatures, in the DNA methylome of immune cells, that reflect epigenetic changes during diseases, with special focus on but not limited to respiratory disorders. We need access to the supercomputer in order to perform parallel computation using the compute nodes and the resources available at NSC. We published research articles/preprints during the year 2022-23 using the SNIC resources and we have acknowledged that in our articles – 1. Genome-wide DNA methylation profiling in Lyme neuroborreliosis reveals altered methylation patterns of HLA genes. Henningsson AJ, et al. J Infect Dis. 2023. PMID: 37824827 2. The spectrum of tuberculosis described as differential DNA methylation patterns in alveolar macrophages and alveolar T cells. Pehrson I, et al. Clin Epigenetics. 2022. PMID: 36527066 3. Defining post-acute COVID-19 syndrome (PACS) by an epigenetic biosignature in peripheral blood mononuclear cells. Nikesjö F, et al. Clin Epigenetics. 2022. PMID: 36517875