1. Introduction to omics: Genomics, Transcriptomics, Proteomics, Lipidomics and Metabolomics. 2. Genomics: From chromosomes to sequences, sequencing techniques. Genomic maps and genetic markers, functional identifications and annotations. Ecosystem genomics. 3. Transcriptomics: Expression analysis based on microarrays and RNA-seq. Classification of RNAs, functions of non-coding RNAs. 4. Proteomics: Methodology in proteomic analysis. Identification, quantification, interactions and pros-translational modifications. 5. Lipidomics: Methodology of analyses. Uses as markers and pathological and therapeutic responses. 6. Metabolomics: Methodology of analyses. Primary, secondary and intermediate metabolites, diagnostic implications and response to stimuli. 7. Epigenetics and gene expression 8. Pharmacogenomics and personalised medicine. 9. Bioinformatics: sequencing, assembly and annotation of genomes. Identification of non-coding regions. Genes to proteins. Protein function prediction. 10. Bioinformatics of Molecular Networks. Integration of information to infer genetic and protein networks. Network representation. 11. Mathematical models of molecular systems. Limitations of mathematical models of biological systems. 12. Examples of application of the different tools and methods to investigate problems.

Classroom lectures. Face-to-face classes: reduced (workshops, seminars, case studies). Student individual work. Laboratory session. Final exam. Seminars and lectures supported by computer and audiovisual aids. Practical learning based on cases and problems, and exercise resolution. Individual and group or cooperative work with the option of oral or written presentation. Individual and group tutorials to resolve doubts and queries about the subject. Internships and directed laboratory activities.