Difference between revisions of "Lecture 3 - Genomics"
imported>YoungKwang Jung |
imported>YoungKwang Jung |
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+ | <p>What is genomics?</p> | ||
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<p>Genomics -> Bioinformatics</p> | <p>Genomics -> Bioinformatics</p> | ||
+ | |||
+ | <p> </p> | ||
+ | |||
+ | <p><T - graph></p> | ||
<p>[[File:T-graph_YK.png|300px|thumb|left|alt text]]</p> | <p>[[File:T-graph_YK.png|300px|thumb|left|alt text]]</p> | ||
+ | |||
+ | <p>Diverse : Type/Species/People - ex) normal cell vs cancer cell (Horizontal axis in T-graph)</p> | ||
+ | |||
+ | <p>Variability : Gradient of the type (Verticall axis in T-graph)</p> | ||
<p> </p> | <p> </p> | ||
+ | |||
+ | <p><Genome + Envirome => Phenome></p> | ||
<p>[[File:Geno+Enviro = Pheno.png|300px|thumb|left|alt text]]</p> | <p>[[File:Geno+Enviro = Pheno.png|300px|thumb|left|alt text]]</p> | ||
+ | |||
+ | <p>Genome : genetic factor (Korean genome, neurodegenerative genome)</p> | ||
+ | |||
+ | <p>Envirome : environmental factor (Korean enviornment, boxing)</p> | ||
+ | |||
+ | <p> </p> | ||
+ | |||
+ | <p>Phenome : Outcome of the genetic factor and environmental factor (neurodegenerative genome + boxing = parkinson)</p> | ||
+ | |||
+ | <p> </p> | ||
+ | |||
+ | <p>In real world, there are complicated factor about phenome -> It is difficult to predict</p> | ||
+ | |||
+ | <p>-> Solution: 1. Exact data 2. principle 3. big computer</p> | ||
+ | |||
+ | <p> </p> | ||
+ | |||
+ | <p>Sequencing: 1st(ex: sanger) 2nd(ex: shotgun) 3rd(single molecule) 4th(ex: nanopore)</p> | ||
+ | |||
+ | <p>Reference genome: criteria overlapping depth for mapping</p> | ||
+ | |||
+ | <p> </p> | ||
+ | |||
+ | <p>Genome analysis</p> | ||
+ | |||
+ | <p>1. Select sample or species</p> | ||
+ | |||
+ | <p>2. design</p> | ||
+ | |||
+ | <p>3. experiment</p> | ||
+ | |||
+ | <p>ex) Tiger/Whale</p> | ||
+ | |||
+ | <p>1. Tiger is symbolic(cat/lion/tiger) and carnivore / Whale is evolutionally interesting, live very long(average 200 years)</p> | ||
+ | |||
+ | <p>2. design how to..</p> | ||
+ | |||
+ | <p>3. compare the color of fur(white vs orange)</p> | ||
+ | |||
+ | <p> </p> | ||
+ | |||
+ | <p>De Novo(the new) - the first genome not using reference genome </p> | ||
+ | |||
+ | <p> </p> | ||
+ | |||
+ | <p>Glutathion is the antioxidant to reduce the ROS(reactive oxygen species)</p> | ||
+ | |||
+ | <p>Question : Is there any supplements or drugs to increase the level of glutathion? - coffee, green tea, wine....</p> | ||
+ | |||
+ | <p> </p> |
Revision as of 18:08, 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....