Lecture 3 - Genomics

What is genomics?

Genomics -> Bioinformatics

 

<T - graph>

File:T-graph YK.png

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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>

File:Geno+Enviro = Pheno.png

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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....

 

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