生物資訊學(一)
Introduction to Bioinformatics (I)
| 節 | 週二 |
|---|---|
3 10:10–11:00 | 生物資訊學(一) YR105 2 節連堂 |
4 11:10–12:00 |
* 根據陽明交大上課時間表所列
1. Overview of bioinformatics 2. Gene expression analysis 3. Gene set enrichment analysis 4. Connectivity maps 5. RNA-Seq 6. Systems biology 7. Regulatory motifs 8. Proteomics 9. Structural bioinformatics 10.Sequence alignment 11.Dynamic programming 12.Multiple sequence alignment 13.Phylogenetic reconstruction
現代生物學研究和新實驗技術常常會產大量的實驗數據,因此二十一世紀的生物學或生命科學教育必須加強運用電腦與資訊軟體的能力。 本課程使主修生命科學的大學生獲得基本生物資訊學概念,具體目標是有能獨立運用現有軟體工具分析數據,更進?步能與資訊專業領域的人士合作解決生物問題。 本課程著重在介紹軟體工具的原理,以及如何解釋軟體產生的結果。並非實驗或實習, 因此不會強調軟體或網站的操作。本課程不需程式設計基礎。 Preparing students for facing the complex data sets of today's life science research has been a major emphasis of biology education. The aim of the course is thus to convey the fundamentals of bioinformatics to life science students, and to communicate the computational ideas behind key methods in bioinformatics. It is believed that once the computational ideas are grasped, students will be able to use existing bioinformatics tools more effectively, and perhaps to communicate better with computational scientists.
midterm and final examinations (100%)
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction |
| 第 2 週 | Overview of bioinformatics |
| 第 3 週 | Gene expression analysis 1 |
| 第 4 週 | Gene expression analysis 2 |
| 第 5 週 | Gene expression analysis 3 |
| 第 6 週 | Functional interpretation of large lists of gene derived from genomic studies 1 |
| 第 7 週 | Functional interpretation of large lists of gene derived from genomic studies 2 |
| 第 8 週 | midterm examination |
| 第 9 週 | RNA-Seq and next generation sequencing |
| 第 10 週 | Systems biology |
| 第 11 週 | Regulatory genomic motifs |
| 第 12 週 | Proteomics |
| 第 13 週 | Structural bioinformatics |
| 第 14 週 | Overview of biological sequence alignment |
| 第 15 週 | Algorithm of sequence alignment |
| 第 16 週 | Phylogenetic reconstruction |
| 第 17 週 | final examination |
| 第 18 週 | 彈性補充教學 Supplementary lectures 1 |
1. Introduction to Bioinformatics, Arthur M. Lesk, 4th edition, Oxford, 2014. 2. Bioinformatics for biologists, ed. Pavel Pevzner and Ron Shamir, Cambridge, 2011.