Bioinformatics and Computational Genomics Course Lecture Schedule

 

Lecture 1

Genome Projects, Sequence Analysis I

대전: 7.25

서울: 7.27

How genome sequences are obtained

How to compare two sequences

How to search sequence databases

How to find motifs in sequences

Lecture 2

Sequence Analysis II, Literature Data, Protein Structure

대전: 8.1

서울: 8.3

How to compare multiple sequences

How to manipulate biological literature with computer

How to organize biological knowledge

How to predict and manipulate protein structures with computer

Lecture 3

Comparative Genomics, Non-Coding RNA

대전: 8.8

서울: 8.10

How to infer phylogenetic trees

How to predict gene structure with computer

How to manipulate genome sequences with computer

What we can learn from genome sequences

How to manipulate non-coding RNAs with computer

Lecture 4

Transcriptomics, Proteomics, Metabolomics, Systems Biology

대전: 8.22

서울: 8.24

How to obtain and analyze mRNA expressions

How to obtain and analyze protein expressions

How to obtain and analyze metabolites

The challenge of building the computational models of cell

Computer hardware for bioinformatics work

Lecture 5

SNP, HapMap, Genetic Mapping

대전: 8.29

서울: 8.31

How to obtain genetic polymorphism data

Characteristics of human genetic polymorphism

Finding genes responsible for single factor diseases

Finding genes responsible for complex diseases

Essential computer software for bioinformatics work

Comments for further study

Lecture S

Spare Time Slot

대전: 9.4

서울: 9.6

 

 

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Last update: 6/28/2006