1. Introduction 2. Interpretation of Cytogenetics data 3. Interpretation of microarray and transcriptomics data 4. Interpretation of whole exome and whole genome data 5. Artificial intelligence and translational tools 6. Translational tools for pharmacogenomics 7. Minimum information required for Pharmacogenomics experiments 8. Proteomics and metabolomics data analysis for translational medicine 9. Genome databases 10. Genomic data sharing 11. Genomics England as an example of genome informatics applications 12. Conclusions and future perspectives sakriti opis