Difference between revisions of "Jong Bhak's Genomics Syllabus"

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<div style="word-break: keep-all; margin: 0cm 0cm 8pt; line-height: 160%"><span style="font-size:24px"><strong><span style="color:black">(No mid-term exam)</span></strong></span></div>
 
<div style="word-break: keep-all; margin: 0cm 0cm 8pt; line-height: 160%"><span style="font-size:24px"><strong><span style="color:black">(No mid-term exam)</span></strong></span></div>
  
<div style="word-break: keep-all; margin: 0cm 0cm 8pt; line-height: 160%"><span style="color:#B22222"><span style="font-size:24px"><strong>* This syllabus can be changed any time in any year!</strong></span></span></div>
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<div style="word-break: keep-all; margin: 0cm 0cm 8pt; line-height: 160%"><span style="color:#FF0000"><span style="font-size:24px"><strong>* This syllabus can be changed any time in any year!</strong></span></span></div>
  
 
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Revision as of 12:31, 15 September 2018

Jong Bhak's Genomics course syllabus.
(No mid-term exam)
* This syllabus can be changed any time in any year!

Weekly Schedule

Week

Contents

01

   Introduction to Jong Bhak's genomics course

   What is life?, What is information?, What is the universe?  (as information processing objects)

  What is evolution?

02

 What is Sequencing in Genomics and Omics? (as an approach of understanding life)

 Sequencing: Sanger, NGS, Methyl-seq, ATAC-seq
 

03

 What is alignment?, What is genome assembly?,

  What is functional annotation for Big data processing in biology?

 Open source tools, concepts of alignment of DNA sequences.
 

04

 How molecules and cells propagate in the universe? Evolution.

 Close species Comparative Genomics (CSCG) for diverse genome evolution.

 Phylogenetic tree.

 Selective sweep  Convergent evolution

05

(2016.10.07)

 Human genomes

   KPGP, KOREF, The first Korean genome

 

06

(2016.10.08)

 Genome analyses cases

  Whale genomics

07

 Genome analyses cases

  [[Tiger genomes]]

08

 Genome analyses cases

   Vulture genomes  

09

 [[Transcriptome]]:  Genome analyses cases (horse transcriptome)

10

 Curing Cancer using genomics (Oncomics)

   Analysing disease genomes

11

 Curing Cancer using genomics (Oncomics)

  Diffuse type cancer analyses.

12

 Curing Aging using genomics (Geromics)

 Measuring aging biologically

 Telomics

 Geromics Lecture related links: telomeres

13

 Curing Aging using genomics (Geromics)

  Aging related keywords and genes

14

 Epigenomics (Environmental genome)

15

  Research Report presentation