Topics Covered
- Introduction to Bioinformatics & Biological Databases
- Sequence Analysis (DNA, RNA, Protein)
- Phylogenetics & Molecular Evolution
- Genomics, Transcriptomics & Proteomics
- Structural Bioinformatics & Docking
- Data Preprocessing & NGS Analysis
- Biostatistics & Hypothesis Testing
- Systems Biology & Pathway Analysis
- Machine Learning Applications in Bioinformatics
- Hands-on with Tools (BLAST, MEGA, Galaxy, Cytoscape, Python, R, Bioconductor)
Training Includes
- Strong foundation in bioinformatics concepts
- Sequence alignment, structure prediction & phylogenetic analysis
- NGS data handling and omics analysis
- Statistical and pathway enrichment analysis
- Hands-on practice with major bioinformatics tools
- Introduction to machine learning for biological data
- Ability to analyze real datasets and derive meaningful insights