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 |
|