DAY 1: Advanced Microarray Data Analysis

           8월 20일(월)

시간

  주  제

강 사

8:30 ~ 9:30

9:30 ~ 9:50

김주한 교수

9:50 ~ 10:40

Gene Expression Analysis
- Normalization
- Differential Expression Analysis
- Classification Analysis

김주한 교수
(서울의대)

10:50 ~ 12:10

실 습 I: Bioconductor
          t-test, SAM, ANOVA, FDR
          LDA, DTs, SVMs

나영지, 이수연

12:10 ~ 13:10

  중  식

13:10 ~ 14:00

Gene Ontology & Pathway Analysis
- Clustering Analysis
- Gene Ontology Analysis
- Pathway Enrichment Analysis

손경아 박사
(서울의대)

14:10 ~ 15:30

실 습 II: KNN, SOM, HC, PCA
           ArrayXPath, David

이수연, 백수연

15:40 ~ 16:30

Gene-set Approaches & Prognostic Subgroup Prediction
- Gene Set Database
- Gene Set Enrichment Analysis
- Prognostic Subgroup Prediction

조성범 박사
(국립보건연구원)

16:40 ~ 18:00

실 습 III: Gene Set Enrichment Analysis
           Cox-PH, Log Rank Test

김도균, 서희원

DAY 2: Next Generation Sequencing & Personal Genome Data
          Analysis

          8월 21일(화)

시간

  주  제

강 사

8:30 ~ 9:30

9:30 ~ 9:50

Next Generation Sequencing & Personal Genome Data Analysis

 김주한 교수

9:50 ~ 10:40

NGS Platforms and Applications
- Current NGS Platforms
- NGS Data Formats
- NGS Data Analysis Technologies
- NGS Applications

이환석 박사
(마크로젠)

10:50 ~ 12:10

실 습 I: NGS Data Processing
         NGS Sequence Alignment
         NGS Visualization Tools

나영지, 임재현

12:10 ~ 13:10

  중  식

13:10 ~ 14:00

Exome Sequencing Analysis
- Exome Sequencing Data
- Exome Sequencing of Rare Disease
- Variant Analysis and Annotation

김남신 박사
(생명공학연구원
KOBIC)

14:10 ~ 15:30

실 습 II: SNP and Indel Identification
          Variant Analysis and Annotation

박찬희, 서희원

15:40 ~ 16:30

Personal Genome Interpretation
- Phenotype Annotation
- Genetic Risk Prediction
- Healthcare Application

김주한 교수
(서울의대)

16:40 ~ 18:00

실 습 III: Exome-seq Analysis for Disease
           Family Sequencing Data Processing
           Detection of Disease-causing Variations

서희원, 나영지

DAY 3: RNA-seq, Disease Genome, Epigenome Data Analysis

          8월 22일(수)

시간

  주  제

강 사

8:30 ~ 9:30

9:30 ~ 9:50

RNA-seq, Disease Genome, Epigenome Data Analysis

 김주한 교수

9:50 ~ 10:40

RNA-Seq Data Analysis
- Novel Transcript Discovery
- Alternative Splicing Identification
- RNA-editing Analysis
- Differentially Expressed Genes Identification

정제균 박사
(서울의대)

10:50 ~ 12:10

실 습 I: TopHat, Cufflinks
          RNA-Seq Gene Expression Analysis           Gene Fusion Analysis

서희원, 임재현

12:10 ~ 13:10

  중  식

13:10 ~ 14:00

Cancer Disease Genome Informatics
- Cancer Genome Analysis
- Identifying Genomic Rearrangement
- Gene Fusion Analysis
- Rare Disease Analysis

김남신 박사
(생명공학연구원
KOBIC)

14:10 ~ 15:30

실 습 II: TCGA Data Analysis (Mutation, Survival,
           Methylation)
           Genomic Rearrangement, Rare Disease

이수연, 백수연

15:40 ~ 16:30

Epigenome Data Analysis
- Epigenetic Mechanisms
- DNA Methylation Analysis
- Histone Modification Analysis
- Discovery of Epigenetic Biomarkers

김선 교수
(서울대)

16:40 ~ 18:00

실 습 III: Epigenome Tools & Databases            Visualization of DNA Methylation Data            Identification of Methylated Genes

한현욱, 정용

DAY 4: Network Biology, Sequence, Pathway and Ontology
          Informatics

          8월 23일(목)

시간

  주  제

강 사

8:30 ~ 9:30

9:30 ~ 9:50

Network Biology, Sequence, Pathway and Ontology Informatics

 김주한 교수

9:50 ~ 10:40

Motif and Regulatory Sequence Analysis
- Sequence Motif Analysis
- Genome Sequence Analysis
- Genome Browser

정해영 박사
(생명공학연구원)

10:50 ~ 12:10

실 습 I: TF Target Prediction for Metagenomes
          Phylogenetic Analysis (ClustalW &
          TreeView)
          UCSC Genome Browser

조용래, 정용

12:10 ~ 13:10

  중  식

13:10 ~ 14:00

Molecular Pathway & Gene Ontology
- Biopathway Analysis
- Gene Ontology & Pathway Database and Tools
- Biological Literature and Text Mining

김양석 교수
(경희대)

14:10 ~ 15:30

실 습 II: Pathway, Gene Ontology Analysis           BioLattice, Pubgene
          Biological Text Mining

정용, 백수연

15:40 ~ 16:30

Biological Network Analysis
- Characteristics of Biological Network
- Protein-protein Interaction Network Analysis
- Regulatory Network Analysis

이기영 교수
(아주대)

16:40 ~ 18:00

실 습 III: Network Analysis (Cytoscape, igraph)            Properties of Interaction
           Network Visualization

한현욱, 임재현

DAY 5: SNPs, GWAS & CNVs: Informatics for Variations

          8월 24일(금)

시간

  주  제

강 사

8:30 ~ 9:30

9:30 ~ 9:50

SNPs, GWAS & CNVs: Informatics for Variations

 김주한 교수

9:50 ~ 10:40

SNP Data Analysis
- Linkage Disequilibrium Analysis
- Haplotype Estimation
- LD Blocking, Tagging SNPs Selection

박지완 교수
(한림의대)

10:50 ~ 12:10

실 습 I: Haplotype Estimation, LD Blocking
          dbSNP Database
          Pharmacogenetic Analysis (PharmGKB)

윤준희, 김도균

12:10 ~ 13:10

  중  식

13:10 ~ 14:00

GWAS Data Analysis
- Genotype & Haplotype
- Rare Variant Analysis
- Runs of Homozygosity (ROH)
- Regression-based Testing

이채영 교수
(숭실대)

14:10 ~ 15:30

실 습 II: GWAS Catalog
          GWAS test with PLINK software

박찬희, 조용래

15:40 ~ 16:30

CNV Data Analysis
- CNV in Diseases
- CNV Database
- CNV Data Processing
- Copy Number Detection

김봉조 박사
(국립보건연구원)

16:40 ~ 18:00

실 습 III: Identification of CNV Regions
           CNV Association Testing

김도균, 서희원