The future of sequencing in toxicology looks promising with advancements in technology leading to more cost-effective and faster sequencing methods. The integration of big data analytics and machine learning will enhance the predictive power of toxicogenomics, allowing for more precise risk assessments and personalized interventions. Continued research and collaboration will be crucial in translating sequencing data into actionable insights in toxicology.
