Unit 1:
Introduction to Omics Technologies; Overview of genomics, transcriptomics, proteomics, metabolomics, and other omics approaches, High-throughput sequencing technologies (NGS, RNA-seq, ChIP-seq, etc.), Genomics in Translational Medicine; Genome sequencing and variant analysis, Association studies and genome-wide association studies (GWAS), Pharmacogenomics and personalized medicine
Unit 2:
Transcriptomics and Gene Expression Analysis, Transcriptome profiling techniques (microarrays, RNA-seq), Differential gene expression analysis, Gene co-expression networks and pathway analysis.
Unit 3:
Mass spectrometry-based proteomics and metabolomics, Proteomics and Protein Biomarker Discovery; Mass spectrometry-based proteomics workflows, Identification and validation of protein biomarkers, Clinical applications of proteomics in disease diagnosis and monitoring
Unit 4:
Metabolomics and Metabolic Profiling; Metabolite identification and quantification, Metabolic pathway analysis, Metabolomics in drug metabolism and toxicology, Integrative Omics Approaches; Multi-omics data integration, Systems biology and network analysis, Translational applications of integrated omics approaches. Data Analysis and Bioinformatics Tools; Statistical analysis of omics data, Bioinformatics pipelines for data processing and interpretation, Visualization techniques for omics data analysis.
Unit 5:
Ethical, Legal, and Regulatory Considerations; Data privacy and confidentiality, Informed consent and patient rights, Regulatory pathways for omics-based diagnostics and therapeutics.