Difference between revisions of "Lecture 3 - Genomics"

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<p>What is genomics?</p>
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<p>Genomics -&gt; Bioinformatics</p>
 
<p>Genomics -&gt; Bioinformatics</p>
  
<p>[[File:T-graph_YK.png]]</p>
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<p>&nbsp;</p>
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<p>&lt;T - graph&gt;</p>
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<p>[[File:T-graph_YK.png|300px|thumb|alt text]]</p>
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<p>Diverse : Type/Species/People - ex) normal cell vs cancer cell&nbsp;(Horizontal axis in T-graph)</p>
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<p>Variability : Gradient of the type&nbsp;(Verticall axis in T-graph)</p>
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<p>&nbsp;</p>
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<p>&lt;Genome + Envirome =&gt; Phenome&gt;</p>
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<p>[[File:Geno+Enviro = Pheno.png|300px|thumb|alt text]]</p>
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<p>Genome : genetic factor (Korean genome, neurodegenerative genome)</p>
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<p>Envirome : environmental factor (Korean enviornment, boxing)</p>
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<p>&nbsp;</p>
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<p>Phenome : Outcome of the&nbsp;genetic factor and&nbsp;environmental factor (neurodegenerative genome + boxing = parkinson)</p>
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 +
<p>&nbsp;</p>
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<p>In real world, there are complicated&nbsp;factor about&nbsp;phenome -&gt; It is difficult to predict</p>
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<p>-&gt; Solution: 1. Exact data 2. principle 3. big computer</p>
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 +
<p>&nbsp;</p>
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<p>Sequencing: 1st(ex: sanger) 2nd(ex: shotgun) 3rd(single molecule) 4th(ex: nanopore)</p>
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 +
<p>Reference genome: criteria overlapping depth&nbsp;for mapping</p>
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<p>&nbsp;</p>
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<p>Genome analysis</p>
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<p>1. Select sample or species</p>
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<p>2. design</p>
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<p>3. experiment</p>
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<p>ex) Tiger/Whale</p>
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<p>1. Tiger is symbolic(cat/lion/tiger) and carnivore / Whale is evolutionally interesting, live very long(average 200 years)</p>
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 +
<p>2. design how to..</p>
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<p>3. compare the color of fur(white vs orange)</p>
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 +
<p>&nbsp;</p>
 +
 
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<p>De Novo(the new) - the first genome not using reference genome&nbsp;</p>
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<p>&nbsp;</p>
 +
 
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<p>Glutathion is the antioxidant to reduce the ROS(reactive oxygen species)</p>
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<p>Question : Is there any supplements or drugs to increase the level of glutathion? - coffee, green tea, wine....</p>
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<p>&nbsp;</p>
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<hr />
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<p>[[Class_talking_%26_question]]</p>

Latest revision as of 18:10, 27 May 2017

What is genomics?

Genomics -> Bioinformatics

 

<T - graph>

Diverse : Type/Species/People - ex) normal cell vs cancer cell (Horizontal axis in T-graph)

Variability : Gradient of the type (Verticall axis in T-graph)

 

<Genome + Envirome => Phenome>

Genome : genetic factor (Korean genome, neurodegenerative genome)

Envirome : environmental factor (Korean enviornment, boxing)

 

Phenome : Outcome of the genetic factor and environmental factor (neurodegenerative genome + boxing = parkinson)

 

In real world, there are complicated factor about phenome -> It is difficult to predict

-> Solution: 1. Exact data 2. principle 3. big computer

 

Sequencing: 1st(ex: sanger) 2nd(ex: shotgun) 3rd(single molecule) 4th(ex: nanopore)

Reference genome: criteria overlapping depth for mapping

 

Genome analysis

1. Select sample or species

2. design

3. experiment

ex) Tiger/Whale

1. Tiger is symbolic(cat/lion/tiger) and carnivore / Whale is evolutionally interesting, live very long(average 200 years)

2. design how to..

3. compare the color of fur(white vs orange)

 

De Novo(the new) - the first genome not using reference genome 

 

Glutathion is the antioxidant to reduce the ROS(reactive oxygen species)

Question : Is there any supplements or drugs to increase the level of glutathion? - coffee, green tea, wine....

 


Class_talking_&_question