DAY 1: Methodology and Application for Next Generation Sequencing

           8월 26일(월)

시간

  주  제

강 사

9:00 ~ 9:30

9:30 ~ 10:20

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

  김기태 교수
(서울치대)

10:30 ~ 12:00

실 습 I: NGS Data Formats
          NGS Data Format Converting
          NGS Visualization Tools
          Allele and Genotypic Frequency Calculation

이시은 (5,9장)

12:00 ~ 13:00

  중  식

13:00 ~ 13:50

NGS Data Analysis
- Sequence Alignment Algorithms
- Whole Genome and Exome Data Analysis
- Variation Detection and Reference Genome

최무림 교수
(서울의대)

14:00 ~ 15:30

실 습 II: Sequence Variant Calling and Annotation
         Exome Sequencing Alignment
         SNP, INDEL Identification and Filtering

윤미선 (10장)

15:40 ~ 16:30

Exome Sequencing Analysis
- Exome Sequencing Data
- Study Design and Workflow
- Exome Sequencing of Familial Disease

한미령 교수
(국립인천대)

16:40 ~ 18:10

실 습 III: Annotating Functional Effect of Sequence Variants
          Introduction to ANNOVAR
          Use of GENECODE, Ensembl, BioMart, etc

권호식 (11장)

18:10 ~ 18:30

DAY 2: UK Biobank 50만 명 바이오빅데이터의 클라우드 기반 분석 실습 (무료)

           8월 27일(화)

시간

   주  제

강 사

9:00 ~ 9:30

9:30 ~ 10:10

Introduction to Healthcare Data Science and Biobank Projects
- Overview of data science in healthcare
- Introduction to Biobanks (e.g. UK Biobank, All of US)
- Overview of the UK Biobank

김주한 교수
(서울의대)

10:30 ~ 12:00

실 습 I: Exploring UK Biobank
          Accessing UK Biobank data (Application to UK Biobank)
          UK Biobank data showcase

유준기

12:00 ~ 13:00

   중  식

13:00 ~ 14:10

UK Biobank Data structure
- Types of data available (clinical, genomic, etc.)
- Advantages and barriers to the use of UK Biobank data
- Data standardization

임영균 박사
(Cipherome, Inc.)

14:20 ~ 15:20

Introduction to COMPASS Platform
- Overview of COMPASS features
- User interface walkthrough
- Datasets available in COMPASS

임영균 박사
(Cipherome, Inc.)

15:30 ~ 18:00

실 습 II: Hands-on Exercise on COMPASS
           Cohort building
           Dataset Generation
           Advanced Analysis (Statistical analysis, Machine Learning, Genomic analysis)

전예진

18:00 ~ 18:30

DAY 3: Cancer Genome Data Analysis

           8월 28일(수)

시간

   주  제

강 사

9:00 ~ 9:30

9:30 ~ 10:20

The Cancer Genome Atlas (TCGA) Project and Cancer Genome Research
- TCGA Introduction
- TCGA Data and Scientific Findings
- Impact of TCGA and Future

박찬희 박사
(테라젠바이오)

10:30 ~ 12:00

실 습 I: Cancer Somatic Mutation Analysis (MAF)
          Visualization of mutual exclusive mutation pattern
          Discovering driver mutations

임성수 (15장)

12:00 ~ 13:00

   중  식

13:00 ~ 13:50

Advanced Cancer Genome Data Analysis
- Different types of variation in cancer
- Matched normal and tumor pair data analysis
- Cancer clonality and sequencing depth
- Visualizing cancer genomics data

이수연 박사
(국립보건원)

14:00 ~ 15:30

실 습 II: Cancer Somatic Mutation Analysis
           Somatic Variant Detection
           Survival Analysis
           Resources for Cancer Research
           Mutual exclusivity and coverage
           Visualization of cancer study

유준기 (14,16장)

15:40 ~ 16:30

Informatics for Cancer immunotherapy
- Genomics in cancer immunotherapy
- Tumor mutation burden(TMD) and neoantigen
- Gene expression and immune cells

 장현 교수
(가톨릭관동의대)

16:40 ~ 18:10

실 습 III: Informatics for Cancer immunotherapy
           Variant annotation by VEP
           Neoantigen Prediction
           Identification of marker for immune cells

전예진 (17장)

18:10 ~ 18:30

DAY 4: RNA-Seq and Transcriptome Data Analysis

           8월 29일(목)

시간

   주  제

강 사

9:00 ~ 9:30

9:30 ~ 10:20

RNA-Seq Data Analysis
- Read Alignment Methods
- Expression Quantification Strategy
- Differentially Expressed Genes Identification

김기태 교수
(서울치대)

10:30 ~ 12:00

실 습 I: RNA-Seq Transcriptome Basic Data Analysis
          Old Tuxedo Pipeline(tophat, cufflinks)
          New Tuxedo Pipeline(hisat2, stringtie)
          DEG analysis

권호식 (20장)

12:00 ~ 13:00

   중  식

13:00 ~ 13:50

Non-coding RNA Analysis
- miRNA-seq Expression Profile Analysis
- Novel Transcript Discovery
- Non-coding RNA Characterization

이영희 교수
(서울대학교)

14:00 ~ 15:30

실 습 II: Micro-RNA and non-coding RNA Data Analysis
           RNA-Seq Gene Expression Analysis
           miRNA Sequencing Data Process
           miRNA Expression Profiling

임성수 (22장)

15:40 ~ 16:30

Sequence-level Transcriptome Analysis
- Alternative Splicing Events
- Alternative Polyadenylation Analysis
- RNA Editing Analysis

박지연 박사
(가톨릭의대)

16:40 ~ 18:10

실 습 III: Alternative Splicing Identification
           RNA-DNA Difference (RDD) Analysis
           RNA Editing Site Annotation

조민아 (21장)

18:10 ~ 18:30

DAY 5: Advanced NGS Data Analysis

           8월 30일(금)

시간

   주  제

강 사

9:00 ~ 9:30

9:30 ~ 10:20

Single Cell Transcriptomics and Spatial Genomics
- Single cell RNA
- Spatial Genomics

정제균 교수
(차의대)

10:30 ~ 12:00

실 습 I: Single Cell Data Analysis
         Pre-processing single cell data
         Clustering
         DEG analysis

조민아

12:00 ~ 13:00

   중  식

13:00 ~ 13:50

Pathway and Network Analysis
- Characteristics of Biological Network
- Cancer Gene Network Construction and Clustering
- Identification of Aberrant Pathway in Cancers

한현욱 교수
(차의대)

14:00 ~ 15:30

실 습 II: Cancer Genome Pathway & Statistical tests for association
          Cancer pathway analysis using cBioPortal
          Rare variant association tests (Burden tests, SKAT, SKAT-O)

최선 (13,25장)

15:40 ~ 16:30

Multiomics and Precision Medicine
- Genome, Transcriptome, and Proteom Integration
- miRNA and Exosome Analysis
- Application for Precision Medicine

류성호 교수
(순천향대학교)

16:40 ~ 18:10

실 습 III: Genomics Characterization of Human Cancer Cell Lines
           Gene expression in human cancer cell line
           Comparing Drug sensitivity by cell lines
           Drug-gene databases

부은경 (7장)

18:10 ~ 18:30

8월 12일 까지

8월 13일 부터

공공/대학/정부

100,000

120,000

일반(기업등)

120,000

160,000