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0527
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<p> </p>
<p>3. Many 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>- candidate gene studies / many slides - each slide : certain sample for certain gene or disease</p>
<p>- Gene doesn't tell everything. </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>
