We are studying neural tumor development and the consequences of genetic and epigenetic changes using functional analyses of both human and mouse model systems. We will analyse multi‑omics data, including WGS, WES, RNA sequencing (WTS), and DNA methylation array data generated at SciLifeLab and Genome Medicine Sweden, using established and reproducible bioinformatics workflows (e.g. Sarek/nf-core pipelines). For genomic data, analyses will include alignment (e.g. BWA), variant calling (e.g. GATK), and variant annotation using tools such as VEP and Annovar. RNA sequencing data will be analysed using established pipelines for transcript quantification, differential expression, and fusion detection. DNA methylation array data will be processed using standard bioinformatics approaches for normalization, quality control, and classification. Downstream integrative analyses across data modalities will be performed using R and Python, including statistical analyses, data integration, and exploratory modelling with relevant bioinformatics packages. All analyses will be conducted within secure computational environments, following best practices for reproducibility and data protection.