Difference between revisions of "0527"

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imported>KimSanggyun
 
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<p>&nbsp;</p>
 
<p>&nbsp;</p>
  
<p>3. Many genome analysis tools</p>
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<p>3. Approaches to genome analysis&nbsp;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&#39;t tell everything.&nbsp;</p>
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 +
<p>- hypothesis - gene analysis : cannot interpret the unexpected gene</p>
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 +
<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?&nbsp;</p>
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 +
<p>- because of this limitation</p>
 +
 
 +
<p>&nbsp;</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>&nbsp;</p>
 +
 
 +
<p>* lecture</p>
 +
 
 +
<p>- diversity / variability</p>
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 +
<p>- genotype + environment = phenotype &gt; uncertainty</p>
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 +
<p>- hypothesis driven (white lion) /&nbsp;data driven (white tiger)</p>
 +
 
 +
<p>&nbsp;</p>
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 +
<p>&nbsp;</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)