Training USTians with pride by promotinga creative educational environment

Secure world-leading educational competitiveness

Discovering creative talent and to become real USTians
Establishment of UST21 education system

Become a university with industry-academia-research integration

Strengthening the cooperation between UST-GFRIs-corporations
Strengthen the cooperation between GFRIs
Support business start-ups with GFRI-based technologies

Establish global status as a national research university

Improving brand value
Improving cooperation network

Establish creative knowledge management system

Providing creative educational environment by applying cutting-edge technology
Improving management effectiveness


In the Department of Biological Sciences at UST, the goal of study is to foster experts in a number of biological fields, key items of "4th industrial revolution". For this, students will first learn diverse techniques to discover useful therapeutic targets and to elucidate their biological functions using omics tools. Second, they will apply these techniques to understand the mechanisms of development and differentiation of human beings and animals, and to identify disease-related genes or individual variations based on the reference genome sequence of humans and various animal species. With the core technologies, such as genomics, epigenomics, proteomics, cellulomics, and bioinformatics, as the central feature, our curriculum mainly consists of specialized class works and field research, combined to foster a multidisciplinary approach for astudy of the functional genomics of human beings and animals.

세부 전공명, 전공내용으로 구분하여 안내합니다.
세부 전공명 전공내용
Functional Genomics The goal of study is to foster expertise in personalized medicine for the future of the field of medicine.
Bioinformatics Bioinformatics is a field of research that cultivates knowledge that can efficiently handle big data by fusing knowledge from various fields. It is a core research area in the future of life science as well as information-based personal genome and personalized medicine.
Bio-Molecular Science The department of Bio-Molecular Science covers the convergence of biology and chemistry, and highlights biomolecular study in diverse fields including genomics, proteomics, bioorganic chemistry, biochemistry, etc. The highly interdisciplinary and interactive programs are dedicated to producing competent researchers in the development of new therapeutics and diagnostics, thereby contributing to improving the quality of life.
Proteome Structural biology The department of Proteomics and Structural Biology covers new research field for revealing knowledge of proteome which engaged in cellular function and structure-function relationship of important proteins in living organisms.

Course Name (Kor/Eng)

유전체빅데이터 (Genomics Big-Data)

Course Details

Course Details
캠퍼스, 학위과정, 학점, 이수구분, 강의형태, 강의방법, 주관교수로 구분하여 안내합니다.
Campus KRIBB School
Academic Curriculum Integrative program Credts 3
Completion Criteria Major Lecture Types Major
Lecture Methods Korean course Supervising Professors


강의목표, 교재 및 참고문헌, 수업운영방식, 과제물, 성적평가방식으로 구분하여 안내합니다.
Lecture Objectives 개인유전체, 희귀질환, 암유전체에서 생산된 Whole-Exome/Genome Sequencing 데이터의 정보분석 및 데이터의 해석 방법을 실습을 병행하며, 이론중심으로 최신동향을 포함하여 초중급 수준에서 강의함. 기말고사는 오픈북으로 각 단원별로 추출된 50여개 문항에 대한 답을 작성하여 제출하며, 매 강의 시간에는 강의요약자료를 LMS에 업로드함(출석확인). Bioinformatics analyses of Whole-Exome/Genome Sequencing data from Personal Gemes, Rare Disease, Cancer Genomes and their interpretation. Some of short time practices of analysis pipelines will be presented. Final exam is to write down summaries of 50 questions into three lines.
Textbooks and References PPT교재
How a Lecture is Conducted
Grading and Score Evaluatios

Weekkly Syllabus

Weekkly Syllabus
Weekkly, 계획으로 구분하여 안내합니다.
1 Week 최근 NGS 플랫폼 선호도 및 동향 분석
2 Week DNA 라이브러리 제작 및 FASTQ 파일 포맷, 데이터베이스에 대한 이해
3 Week 기초리눅스사용법 / 표준유전체, 표준유전자 모델에 대한 이해
4 Week NGS를 이용한 희귀질환 및 진단 응용의 이해
5 Week 표준유전체 서열 indexing, uBAM 변환, BWA-MEM 맵핑 이해 및 실습
6 Week Read Group, sorting, duplicate removal, fixmate 과정 이해 및 실습
7 Week SAM 파일 포맷 이해 및 GATK IndelRealigner의 이해 및 실습
8 Week 개인유전체의 이해, pysam/tabix의 이해 및 실습
9 Week HaplotypeCaller 이해 및 실습, gVCF의 활용
10 Week JEXL expression의 이해 및 filtering 실습, snpsift를 이용한 텍스트 파일 변환
11 Week NGS를 이용한 암유전체 정보분석의 이해
12 Week snpEff를 이용한 gene annotation 및 UCSC genome browser의 custom track을 활용한 가시화 실습
13 Week Pathogenicity Prediction and Genic Intolerance
14 Week 드노보어셈블리 정보분석에 대한 이해
15 Week 집단유전체 정보분석에 대한 이해
16 Week 기말고사