1. Introduction
5. Week 1: Foundations
6. 1. Day 1: What Is Bioinformatics?
7. 2. Day 2: Your First Language — BioLang
8. 3. Day 3: Biology Crash Course for Developers
9. 4. Day 4: Coding Crash Course for Biologists
10. 5. Day 5: Data Structures for Biology
14. Week 2: Core Skills
15. 6. Day 6: Reading Sequencing Data
16. 7. Day 7: Bioinformatics File Formats
17. 8. Day 8: Processing Large Files
18. 9. Day 9: Biological Databases and APIs
19. 10. Day 10: Tables — The Bioinformatician's Workbench
20. 11. Day 11: Sequence Comparison
21. 12. Day 12: Finding Variants in Genomes
25. Week 3: Applied Analysis
26. 13. Day 13: Gene Expression and RNA-seq
27. 14. Day 14: Statistics for Bioinformatics
28. 15. Day 15: Publication-Quality Visualization
29. 16. Day 16: Pathway and Enrichment Analysis
30. 17. Day 17: Protein Analysis
31. 18. Day 18: Genomic Coordinates and Intervals
32. 19. Day 19: Biological Data Visualization
33. 20. Day 20: Multi-Species Comparison
37. Week 4: Professional Skills
38. 21. Day 21: Performance and Parallel Processing
39. 22. Day 22: Reproducible Pipelines
40. 23. Day 23: Batch Processing at Scale
41. 24. Day 24: Programmatic Database Access
42. 25. Day 25: Error Handling in Production
43. 26. Day 26: AI-Assisted Analysis
44. 27. Day 27: Building Tools and Plugins
48. Capstone Projects
49. 28. Day 28: Clinical Variant Report
50. 29. Day 29: RNA-seq Comparative Study
51. 30. Day 30: Multi-Species Gene Family Analysis
55. Appendices
56. 31. Appendix A: Installation and Setup
57. 32. Appendix B: Glossary
58. 33. Appendix C: Career Paths in Bioinformatics
59. 34. Appendix D: Quick Reference Card