生物資訊學
Introduction to Bioinformatics
學期
115-1
學分
2
學分
當期課號
112505
永久課號
LSLS20050
開課單位
生命科學系暨基因體科學研究所
授課教師
鍾翊方、黃彥華
校區
陽明
類別
必修
上課時間表
| 節 | 週四 |
|---|---|
3 10:10–11:00 | 生物資訊學 YR102 2 節連堂 |
4 11:10–12:00 |
* 根據陽明交大上課時間表所列
概述
This course will introduce different strategies and computational tools to analyze bio-molecular information, and next-generation DNA/RNA sequencing data, that may facilitate biomedical researches.
先修科目
Students enrolling in this course should have completed undergraduate courses in (1) Biochemistry and (2) Molecular Biology or Cell Biology. (*** Computer programming skill is not required.) This is not a course of computer language programming (本課程不是電腦語言程式課).
評分方式
課堂出席 turnout (20%), 作業 homework (40%), 期末報告 Term reports (40%)
週次計畫
| 週次 | 主題 |
|---|---|
| 第 1 週 | Overview of bioinformatics |
| 第 2 週 | Bioinformatics data resources |
| 第 3 週 | Sequence alignment and database search |
| 第 4 週 | Detecting differentially expressed genes |
| 第 5 週 | Classification and clustering |
| 第 6 週 | Dynamic programming and cloning of genes |
| 第 7 週 | Electronic cloning (BioEdit) |
| 第 8 週 | Motif and pattern finding in sequencing data (MSA and BioEdit and phylogenetic tree building) |
| 第 9 週 | NGS data analysis and disease gene finding |
| 第 10 週 | Gene expression profiling (RNA-Seq, scRNA-seq, spatial transcriptomics) |
| 第 11 週 | Regulatory motifs |
| 第 12 週 | Systems biology, and making sense of the gene expression profiling (RNA-Seq, scRNA-seq, spatial transcriptomics) |
| 第 13 週 | Artificial intelligence for biomedical researches (I) |
| 第 14 週 | Artificial intelligence for biomedical researches (II) |
| 第 15 週 | Term report (1) |
| 第 16 週 | Term report (2) |
教科書
The materials edited and prepared by the instructor. Journal papers may be assigned by the instructors.
Office Hours
- 地點
- 黃彥華 (守仁樓三樓 309室)
- 時間
- Students are encouraged to contact the instructors to schedule an appointment if they have any questions related to the lecture or homework assignments.
- 聯絡方式
- 黃彥華 yhhuang@nycu.edu.tw