| | 36 | Transcriptional regulation |
| | 37 | Genomic variation(SNP, CNV….) using NGS |
| | 38 | Data, sequence |
| | 39 | Variation detection, |
| | 40 | Annotation |
| | 41 | |
| | 42 | Dr. Liu , |
| | 43 | |
| | 44 | Purpose: Make a unified solution tool that biologists want in their functional, molecular studies. -Identify feasible techniques and economic solutions for them. |
| | 45 | |
| | 46 | The questions that should be addressed. |
| | 47 | 1. Transcription binding sites, modulations |
| | 48 | 2. Histon binding sites |
| | 49 | 3. Histon modification |
| | 50 | 4. SNPs, SNP chips |
| | 51 | 5. Expression (mRNA or cDNA chips) |
| | 52 | 6. miRNA or RNAi |
| | 53 | 7. methylation (epigenetics) |
| | 54 | 8. CNV (copy number variation) |
| | 55 | 9. Protein structure |
| | 56 | 10. Protein chips |
| | 57 | 11. Tissue arrays |
| | 58 | 12. Cell-level functional studies |
| | 59 | 13. Pathway analysis |
| | 60 | 14. Next generation sequencing |
| | 61 | 15. OMIM or disease DB |
| | 62 | 16. Comparative genomics |
| | 63 | 17. Technologies unknown yet |
| | 64 | |
| | 65 | How: Define each question in terms of biologists’ interests. Describe the limits of each question. Find the best or second best tools for each question. How to combine the questions for the sake of biologists (input and output data) |
| | 66 | |
| | 67 | Find out the best example of these kind of approaches (ex. SRS of Lions, ) |
