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일 시 | 2016년 8월 22일(월)- 26일(금)
장 소 | 서울의대 동창회관 3층 가천홀
주 관 | 서울의대 정보의학실, 시스템 바이오 정보의학 연구센터 (SBI-NCRC)
주 최 | 서울대학교병원 유전체 임상 정보분석 훈련센터
제11차 Genome Data Analysis Workshop을 개최하며
제1차 GDA Workshop: 2011년 8월 22일~26일, 서울의대
제2차 GDA Workshop: 2012년 2월 20일~24일, 서울의대
제2차 웍샵에서는 다음과 같은 새로운 실습모듈 3개가 추가 되었다.
(2) 개인유전체 해석: Personal Genome Interpretation
제3차 웍샵에서는 다음과 같은 2개의 실습모듈이 추가되었다.
(2) TCGA (The Cancer Genome Atlas) 데이터 분석
제4차 GDA Workshop: 2013년 2월 18일~22일, 서울의대
(2) PheWAS & EWAS 데이터 분석
제5차 GDA Workshop: 2013년 8월 26일~30일, 서울의대
제5차 웍샵에서는 다음과 같은 새로운 실습모듈 3개가 추가 되었다.
(1) 시퀀스 레벨 전사체 분석: Isoforms, Alternative Splicing, RNA-editing, and Fusion Gene
(3) Post-GWAS: EMR 데이터와 질병 연관 분석
제6차 GDA Workshop: 2014년 2월 24일~28일, 서울의대
(1) Human Genome Data Analysis using ENCODE
(2) Cancer Genome Data Analysis using TCGA
제7차 GDA Workshop: 2014년 8월 25일~29일, 서울의대
(1) Functional Annotation of Sequence Variants
(2) Expression Profiling and Alleleic Status using TCGA RNA-seq Data
제8차 GDA Workshop: 2015년 2월 23일~27일, 서울의대
제8차 웍샵에서는 다음과 같은 새로운 실습모듈 1개가 추가 되었다.
(1) The Final Release of the 1000 Genomes Project Data (2,504 samples) Usage
제9차 GDA Workshop: 2015년 8월 24일~28일, 서울의대
제9차 웍샵에서는 다음과 같은 새로운 실습모듈 2개가 추가 되었다.
(1) Rare, common and disease variant interpretation
(2) Clinical applications of Genetics and Genomics
제10차 GDA Workshop: 2016년 2월 22일~26일, 서울의대
제10차 웍샵에서는 다음과 같은 새로운 실습모듈 2개가 추가 되었다.
(1) The Dominant Regulatory microRNAs and Epigenetic Modulators
(2) Genomic Understanding of Common and Complex Diseases
제11차 웍샵에서는 다음과 같은 실습모듈이 추가될 예정이다.
(1) Advanced methods and algorithms for genetic and genomic data analysis
(2) Alternative Splicing and Polyadenylation Analysis
실습서 "유전체 데이터 분석" 출간
강좌일정은 주최측의 사정에 따라 변경될 수 있습니다.
DAY 1: Translational Bioinformatics: Public Bio Big Data
등록 및 사전 프로그램 설치
Translational Bioinformatics: Public Bio Big Data
TCGA Project and Cancer Genome Research
- TCGA Data and Scientific Findings
- Impact of TCGA and Future
실 습 I: TCGA Somatic Mutation Landscape
Find Significantly Mutated Genes
Identify Driver Groups of Mutations
The 1000 Genomes Project and Human Genome Diversity
- 1000 Genome Samples and Populations
- Mutation Frequencies in Diverse Populations
- 1KP Transcriptomes and Functional Variation
실 습 II: The 1000 Genomes Project Browser
Allele Frequency and Genotypic Frequency Calculation
Identification of Rare and Deleterious Mutations
The Dominant Regulatory microRNAs and Epigenetic Modulators
실 습 III: ENCODE Data at UCSC Genome Browser
DNA Mutations in Genome Level
Functional Methylation/Histone Modification in Epigenetic Level
Epigenetic Regulation of Gene Expression
DAY 2: Methodology and Application for Next Generation Sequencing
등록 및 사전 프로그램 설치
Methodology and Application for Next Generation Sequencing
NGS Platforms and Applications
- Current NGS Platforms
- NGS Data Formats
- NGS Data Analysis Technologies
실 습 I: NGS Data Processing
NGS Data Format Converting
- Sequence Alignment Algorithms
- Whole Genome and Exome Data Analysis
- Variation Detection and Reference Genome
실 습 II: Exome Sequencing Alignment
SNP and Indel Identification
Advanced methods and algorithms for genetic and genomic data analysis
- Statistical methods for genetic association studies
- HLA-imputation and fine mapping
- Analysis of clinical heterogeneity
실 습 III: Statistical tests for association (Chi-square, Fisher's exact test and Odds ratio)
LD calculation based on 1000 Genomes data
HLA alleles, HLA amino acids, SNPs imputation
DAY 3: NGS-based Rare and Common Disease Variant Analysis
등록 및 사전 프로그램 설치
NGS-based Rare and Common Disease Variant Analysis
Genomic Understanding of Common and Complex Diseases
- Diabetes and Endocrine Disease Genomics
- Genomes and Brain
- Bio Big Data Analysis for Genomic Understanding
실 습 I: Common and Complex Diseases Database
GWAS, GAD, OMIM, COSMIC
NGS-based Rare & common disease variant analysis
- Variant prioritization strategy
- Interpretation of deleterious coding variants
실 습 II:Identification of rare variants using
public database (dbSNP, ALFRED)
Resources for Personal Genome Interpretation
(ClinVar, HGMD, PheGeni, SNPedia, PhenoDB)
NGS Applications of Clinical Genetics and Genomics
- Understanding genetic risk prediction
- Incidental findings from genomic sequencing data
실 습 III: Genetic Risk Prediction methods
Functional Effects of variant (PolyPhen2, SIFT, CADD, RegulomeDB)
ACMG recommended genes annotation
DAY 4: Exome Sequencing and Cancer Genome Bioinformatics
등록 및 사전 프로그램 설치
Exome Sequencing and Cancer Genome Bioinformatics
Exome Sequencing Analysis in Clinical Research
- Exome Sequencing Data
- Study Design and Workflow
- Exome Sequencing of Familial Disease
실 습 I: Trio-Exome-Sequencing Data Analysis
Detection of Disease-causing Variations
- Cancer Genome Analysis
- Identifying Genomic Rearrangement
- Gene Fusion Analysis
실 습 II: Fusion Gene Analysis from RNA-seq
Network and Survival Analysis
Resources for Cancer Research:
cBioPortal, COSMIC, CCLE, OncoMap
Copy Number and Genomic Rearrangement
- CNV Identification in Cancer Genome
- Copy Number Data Processing
실 습 III: Cancer Genomic Rearrangement
Identification of CNV regions
DAY 5: RNA-seq and Microarry Data Analysis
등록 및 사전 프로그램 설치
RNA-seq and Microarry Data Analysis
- Read Alignment Methods
- Expression Quantification Strategy
- Differentially Expressed Genes Identification
실 습 I: Read alignment with TopHat,
Expression Quantification with Cufflinks
RNA-Seq Gene Expression Analysis
Biological Interpretation of Transcriptome Data
- Gene Ontology & Pathway Analysis
- Gene Set Enrichment Analysis
- Prognostic Subgroup Prediction
실 습 II: Gene Set Enrichment Analysis
Cox-PH, Log Rank Test
- Alternative Splicing Events
- Alternative Polyadenylation Analysis
- RNA Editing Analysis
- Non-coding RNA Characterization
실 습 III: Alternative Splicing Identification
RNA-DNA Difference (RDD) Analysis
RNA Editing Site Annotation
교육장소 | 서울의대 동창회관 3층 가천홀, 서울시 종로구 대학로 103
교      통 | 지하철 4호선 혜화역 3번 출구