課程資訊
課程名稱
系統生物技術
Systems Biotechnology 
開課學期
104-2 
授課對象
生命科學院  生化科技研究所  
授課教師
胡維碩 
課號
BST5047 
課程識別碼
B22 U0510 
班次
 
學分
全/半年
半年 
必/選修
必修 
上課時間
星期三3,4(10:20~12:10) 
上課地點
 
備註
A群組必修10學分課程之一。上課地點:農化二B10。與李昆達、紀威光合開
總人數上限:40人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/1042BST5047_SysBiote 
課程簡介影片
 
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課程概述

系統生物技術
This course is designed for graduate students from life sciences, chemical and physical sciences and engineering with keen interest in quantitative analysis and design of biological systems. The advances in genomic science and the advances in high throughput transcriptional and translational analytical tools have made biological research data multi--‐dimensional; one can possibly relate biological processes at molecular level to physiological event at cellular level or even at the organisms or population levels. The exploitation of those advances also requires us to deploy new analysis tools that were noted in different disciplines. 

課程目標
This course aims to introduce methodology for analyzing data attained at a genomic level to their integration for interpreting physiological events. It emphasizes the conceptual appreciation of the quantification of molecular event that constitutes “chemical processes” in living systems.
 
課程要求
Handouts will be provided, and selected articles will be assigned. In the second half of the semester, students are divided into groups to work on a project, The project topic will be decided by the group and the responsible lecturer. 
預期每週課後學習時數
 
Office Hours
 
指定閱讀
待補 
參考書目
待補 
評量方式
(僅供參考)
   
課程進度
週次
日期
單元主題
第0週
2/22  Solutions to homework 
第1週
2/24  Genome and Genomics
DNA sequencing technology - from genome sequencing to metagenomics 
第2週
3/02  DNA sequencing technology
Transcriptome assays 
第3週
3/09  Transcriptome data analysis I 
第10週
4/27  Glycosylation 
第14週
5/25  Synthetic biology and pathway engineering 
第15週
6/1  Systemic biology and genome engineering 
第18週
6/24  Project presentation 
第4-1週
3/14  Computer session – introduction to R, transcriptome analysis
 
第4-2週
3/15  Computer session - transcriptome analysis 
第4-3週
3/16  Transcriptome data analysis II - pathway, network… 
第5-1週
3/21  Experimental tools for metabolomics 
第5-2週
3/23  Transcriptome data analysis II 
第8-1週
4/11  Computer session: data visualization, IGV genome browser of a scaffold, David, and GSEA 
第8-2週
4/12  Mining high dimensional transcriptome data - PCA, supervised classification, and sequence mapping 
第8-3週
4/13  Sequence mapping & Computer session: RNA seq, sequencing mapping, PCA, and clustering 
第8-4週
4/14  Computer session: preview of homeworks, RNA seq, and PCA 
第13-1週
5/16  Flux analysis and modeling 
第13-2週
5/18  Flux analysis and modeling