Bioinformatics plays a critical role in analyzing SNP data. Computational tools and databases are used to manage and interpret large datasets, identify associations between SNPs and toxicological outcomes, and predict the functional impact of SNPs. Bioinformatics approaches help in integrating SNP data with other biological data to gain a holistic understanding of gene-environment interactions.
