| 教學內容 |
本課程將分為兩大階段，先由基礎觀念建立及電腦操作指導，使學生熟習各種相關網路資源及生物資訊分析工具；再由聘自中央研究院、農業試驗所等學術研究單位之專家依其專業專長共同授課。課程內容涵蓋：生物資訊及分子生物概述、網路資源及資料庫搜尋、序列分析(含DNA定序及組合、成對序列排比、多重序列排比)、基因發現與註解、基因表現分析及資訊(含EST,SNP,SAGE,微陣列)、重複序列和轉位因子、遺傳圖譜與物理圖譜建立、分子親源樹分析、隱匿馬可夫模式、蛋白質家族分類及基因預測、生物資訊之資料探勘等主題。此課程將能培養同學們跨領域之思考能力，建立生物資訊之基本概念，熟習相關網路資源及生物資訊工具，並掌握生物資訊之研究現況及發展。 |
Syllabus |
This course will include basic concepts and special topics on bioinformatics. The scholars from the Academia Sinica and Taiwan Agricultural Research Institute will be invited to give insturction, according to their expertise. The coverage will include: overview of bioinformatics and molecular biology; web resources and databases searching; sequence analysis (including DNA sequencing and assembly, pairwise sequence alignment, multiple sequence alignment); gene finding and annotation; gene expression analysis and informatics (including EST, SNP, SAGE, microarray); repeat sequences and transposon elements; genetic and physical mapping; phylogenetic tree prediction; hidden Markov models; protein family classification and gene prediction; data mining for bioinformatics. This course will familiarize students with the principles, web resources, analytical tools and computational methods of contemporary bioinformatics for future research and advanced study. |