Difference between revisions of "0527"
imported>KimSanggyun |
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<p> </p> | <p> </p> | ||
| − | <p>3. | + | <p>3. Approaches to genome analysis tools by Soo Gyun</p> |
<p>- GWAS : study about the whole genome - new unexpected gene which is related to disease</p> | <p>- GWAS : study about the whole genome - new unexpected gene which is related to disease</p> | ||
| − | <p>- many slides - each slide : certain sample for certain gene or disease</p> | + | <p>- candidate gene studies / many slides - each slide : certain sample for certain gene or disease</p> |
<p>- Gene doesn't tell everything. </p> | <p>- Gene doesn't tell everything. </p> | ||
| Line 28: | Line 28: | ||
<p>- whole genome - finding common point of many samples and interpreting</p> | <p>- whole genome - finding common point of many samples and interpreting</p> | ||
| + | |||
| + | <p>* Why is it important ?? Why are you giving this talk? What made you do that? </p> | ||
| + | |||
| + | <p>- because of this limitation</p> | ||
| + | |||
| + | <p> </p> | ||
| + | |||
| + | <p>* Approach to science</p> | ||
| + | |||
| + | <p>1. hypothesis-driven : specific way / prerequisite - target</p> | ||
| + | |||
| + | <p>2. data-driven : genomics</p> | ||
| + | |||
| + | <p>- normal vs. patient</p> | ||
| + | |||
| + | <p> </p> | ||
| + | |||
| + | <p>* lecture</p> | ||
| + | |||
| + | <p>- diversity / variability</p> | ||
| + | |||
| + | <p>- genotype + environment = phenotype > uncertainty</p> | ||
| + | |||
| + | <p>- hypothesis driven (white lion) / data driven (white tiger)</p> | ||
| + | |||
| + | <p> </p> | ||
<p> </p> | <p> </p> | ||
Latest revision as of 15:19, 27 May 2016
1. personal genomics
- attacking govenment
- 23andme / Neanderthalian gene - what is related to us?
- helix
2. Introduction to Genomics by Chung Yeon
- think about the problem
- make it interesting
3. Approaches to genome analysis tools by Soo Gyun
- GWAS : study about the whole genome - new unexpected gene which is related to disease
- candidate gene studies / many slides - each slide : certain sample for certain gene or disease
- Gene doesn't tell everything.
- hypothesis - gene analysis : cannot interpret the unexpected gene
- whole genome - finding common point of many samples and interpreting
* Why is it important ?? Why are you giving this talk? What made you do that?
- because of this limitation
* Approach to science
1. hypothesis-driven : specific way / prerequisite - target
2. data-driven : genomics
- normal vs. patient
* lecture
- diversity / variability
- genotype + environment = phenotype > uncertainty
- hypothesis driven (white lion) / data driven (white tiger)
