| 1. | |
Human Genome | ntroduce the lecture1. DNA sequence 2. Human genome sequence 3. Sequence Variation |  |
| 2. | |
Sequencing Technology - technology and history | paper presentation, 1. Next Generation Sequencing 2. Genome sequence reconstruction | |
| 3. | |
De-novo Sequencing | , 1. Challenges in genome sequencing 2. Computer Algorithms 3. Short-read resequencing 4. De-novo Algorithm | |
| 4. | |
Trivial Mapping Algorithm | , 1. Human genome Project 2. Trivial Mapping Algorithm 3. Algorithm complexity | |
| 5. | |
Perfect Matching Algorithm | , 1. Perfect Matching Algorithm 2. Complexity of Perfect Matching Algorithm | |
| 6. | |
Sequence Mapping - Ultrafast & efficient algorithm | , 1. Ultrafast mapping algorithm 2. Burrows Wheeler Transformation | |
| 7. | |
Hplotype Phasing Alagorithms | , 1. SNP 2. Haplotype 3. Haplotype Phasing | |
| 8. | |
Sequence Alignment - background algorithm 1 | , 1. Sequencing Alignment 2. Background algorithms 3. Dynamic programming | |
| 9. | |
Sequence Alignment - background algorithm | , 1. Dynamic programming 2. Tourist Problem | |
| 10. | |
Sequencing Algorithms - Sequencing Alignments 1 | , Global Sequence Alignment | |
| 11. | |
Sequencing Algorithms - Sequence Alignments 2 | , Longest common subsequences | |
| 12. | |
Sequencing Algorithms - Sequence Alignments 3 | , Local sequence alignment | |
| 13. | |
Sequencing Algorithms - Sequence Alignments 4 | , 1. Alignment with Gap Penalties 2. Affine Gap Penalties | |
| 14. | |
Association Study | ,1. case/control study 2. Continuous phenotypes 3. Significance of the association 4. Genome-wide association study | |
| 15. | |
Association Study - complications | , 1. Population structure 2. Confounding effects 3. Linear Mixed Model | |
대구광역시 동구 동내로 64(동내동 1119) 우)41061
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