This project aims to uncover the molecular mechanisms and ecological consequences of adaptation in multiple fish species and their associated parasites by integrating cutting-edge omics approaches. These include genome complexity reduction techniques such as RAD-seq and ddRAD-seq, SNP array, metabarcoding, whole-genome resequencing, RNA-seq and ATAC-seq. In addition, our research emphasizes population genomics to investigate how anthropogenic and natural factors shape population structure, influence genetic diversity, and impact key evolutionary processes that drive biodiversity. Across our ongoing projects, we currently manage approximately 30 TB of genomic data spanning multiple datasets. These data require substantial computational resources for processing and analysis, and many of these analyses are still ongoing. We are also awaiting the delivery of approximately 1000 whole genomes across five different fish species as part of a recently funded project. This will further increase both storage and computational demands and necessitate sustained access to high-performance computing resources for large-scale data processing, analysis, and long-term data management.