《生物信息學入門》課程介紹
《生物信息學入門》是計算機科學與技術專業的專業選修課，它是一門基礎性與前沿性知識并重的課程；它是融合分子生物學和計算機科學這兩大複雜的學科領域，又融入了統計學、數學、物理和生物化學等多個分支而發展起來的新型交叉學科。
該課程内容主要包括以下方面：1）生物信息學的基本問題和經典算法模型：序列比對，基因預測、蛋白質結構功能預測，基因表達數據分析、基因調控網絡和蛋白質相互作用網絡分析； 2）前沿領域：系統生物學，二代測序技術算法，癌症基因組學，臨床生物信息學和表觀遺傳學等。
課程将涉及生物學數據的特點，基本生物信息學算法的關鍵技術，包括已有的相關數據庫資源和工具的介紹，重點講述包括概率統計方法（如HMM、EM算法、Gibbs抽樣、Bayesian推斷）、優化技術（如動态規劃、組合優化）、機器學習和模式識别方法等在生物信息學的應用。旨在為計算機應用技術方向本科生闡明該新型交叉學科的基本概念、理論基礎 (分子生物學、計算機科學、數學)、以及具體的生物學研究問題，并增加該領域最新研究前沿成果，同時強調各種算法及其實現的綜合運用。
本課程的目的是從生物信息學領域的最基本問題和算法入手，系統而深入地将生物信息學的基本知識與方法傳授給學生，使學生打下較為全面和堅實的基礎，并通過一些特殊生物信息學問題的實例描述，使得學生能盡快掌握該領域的基本知識和技巧；此外通過加入一些最新研究進展的講授可以使得學生能接觸到這個領域的前沿。
The introduction of course ---Introduction to Bioinformatics
The introduction to bioinformatics is a optional course of computer science and technology. This class is provided with basic and advanced knowledge. It is the classical interdisciplinary, which integrate molecular biology、computer science 、statistics, mathematics, physics and biochemistry.
The curriculum of this class mainly includes the following aspects: 1) the fundamental problem and
classical algorithm model of the bioinformatics: sequence alignment, gene prediction, protein structure prediction function, gene expression data analysis, gene regulatory network and analysis of protein-protein interaction networks; 2) new frontier: systems biology, the second generation sequencing technology algorithm, cancer genomics, clinical bioinformatics and epigenetics, etc.
This course will cover the characteristics of the different biological data and the key technology of basic algorithms of bioinformatics including probability statistics methods (e.g., HMM, EM algorithm, Gibbs sampling, Bayesian inference), optimization techniques, such as dynamic programming, combinatorial optimization, machine learning and pattern recognition methods applied in bioinformatics.
The purpose of this course is to let the students acquire the most basic problem and the most used algorithm of the system in the field of bioinformatics and make students to build a more comprehensive understanding and solid foundation for this course. Furthermore, the specific application examples iin the field of bioinformatics are provided to enable the students to master the basic knowledge and skills in the field as soon as possible. In addition some Cutting-edge research content of this field are also be introduced.
