近年來，由於分子生物學的快速進展和基因組技術的研發，產生了許多生物相關資料，這些大量累積的資料，需要電腦協助儲存、組織、分析及搜尋。生物資訊學課程的目標是培養學生在生物醫學上尤其是後基因體時代大量資料的理解與比對，重點是學會使用已開發的簡易電腦軟體技術及熟悉Pubmed 等常用搜尋軟體來做序列比對，基因發現，蛋白質序列比對 蛋白質結構比對，蛋白質結構預測 等範圍內相關研究. 此次課程同時增加了實作 DNA barcoding 的部分 藉此實作訓練同學萃取DNA, PCR及分析 DNA序列.

In recent years, due to the rapid progress of molecular biology and the development of genome technology, a lot of biological-related data have been produced. These large amounts of accumulated data require computers to assist in storage, organization, analysis and search. The goal of the bioinformatics course is to train students to understand and compare a large amount of data in biomedicine, especially in the post-genomic era. The focus is on learning to use developed simple computer software technology and familiarity with common search software such as Pubmed to conduct related research in the fields of sequence comparison, gene discovery, protein sequence comparison, protein structure comparison, protein structure prediction, etc. This course also adds a practical part of DNA barcoding to train students to extract DNA, PCR and analyze DNA sequences.

生物資訊學是一門年輕的學門。它主要是利用電子計算機高速運算能力來處理，分析，擷取和挖掘大量生物實驗資料中具有生物意義的資訊，幫助研究人員解釋實驗資料，建構生物模型，以及預測生物系統的行為。
在這門課程中，將有系統的引導學生了解生物資訊學中幾個重要的領域，包括，（1）生物資料庫的認識與應用，（2）序列分析（DNA, RNA proteins），（3）生物資料統合分析（含多序列排比分析，建構演化樹，比較基因體學，DNA microarray）

Bioinformatics is a young discipline. It mainly uses the high-speed computing power of electronic computers to process, analyze, retrieve and mine biologically meaningful information from a large amount of biological experimental data, helping researchers to interpret experimental data, construct biological models, and predict the behavior of biological systems.
In this course, students will be systematically guided to understand several important fields in bioinformatics, including (1) understanding and application of biological databases, (2) sequence analysis (DNA, RNA proteins), (3) integrated analysis of biological data (including multi-sequence alignment analysis, construction of evolutionary trees, comparative genomics, DNA microarray)

Introduction to Bioinformatics (Arthur M Lesk Oxford)

Introduction to Bioinformatics (Arthur M Lesk Oxford)