Lecture 3 - Genomics
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....