生物序列分析與高通量技術

Sequencing technology and high-throughput data analysis

學期

106-1

學分

0 學分

當期課號

5731

永久課號

IBI7018

開課單位

生物資訊及系統生物研究所

授課教師

黃憲達

校區

光復

類別

選修

上課時間表

* 根據陽明交大上課時間表所列

概述

To equip with important computational skills and theories in order to analyze data generated from high-throughput technology in modern biotechnology

先修科目

The enthusiasm to pursue knowledge

備註

無備註

教學方式

1. Handouts 2. Board writing 3. Panel discussion

評分方式

Home works: 30% Midterm Exam: 30% Final Exam: 30% Involvement: 10%

課程大綱

教師未提供此項資料

週次計畫

週次	主題
第 1 週	Introduction: 1. The description and objectives of this course 2. Briefing what and how you will learn from this course 3. My teaching methods and principles 4. Instructional materials of the course 5. Performance evaluation: how will you be rated? 6. Knowing each other and your background 7. Scheduling meeting 2017/9/14
第 2 週	Microarray: 1. Microarray design 2. Normalization 3. Missing value imputation 4. Finding differentially expressed gene 5. QQ plot 6. Volcano plot 2017/9/21
第 3 週	Microarray: 1. GO term enrichment analysis 2. Gene set enrichment analysis 3. SNP array 4. Loss of heterozygosity 5. Tiling array 6. TF binding site discovery 2017/9/28
第 4 週	Microarray: 1. GO term enrichment analysis 2. Gene set enrichment analysis 3. SNP array 4. Loss of heterozygosity 5. Tiling array 6. TF binding site discovery 2017/10/5
第 5 週	NGS: NGS background 2017/10/12
第 6 週	NGS: BWT aligner
第 7 週	NGS: RNA-seq and analysis
第 8 週	NGS: DNA-seq and analysis
第 9 週	NGS: NGS Toolkits and UCSC genome browser
第 10 週	Final

教科書

1. Biological Sequence Analysis by Richard Durbin, Sean R. Eddy, Anders Krogh, Graeme Mitchison. 2. Principles of Statistics by M.G. Bulmer

Office Hours