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    比利时西弗兰德大学生物信息学项目

    来源 :       作者 :      时间 : 2018-04-19

    生物信息学是一门新兴的领域,利用信息学的方法存储和处理分子生物学信息(DNA、蛋白质、功能),并使分子生物学与信息学和程序设计得到结合。

    生物信息学家能够从数据库中检索必要的信息,并利用这些信息进行预测。此领域将在癌症、老年痴呆症等病症开发新药方面发挥重要作用。

    生物信息学包括3个角色,即:程序员的角色、信息学科学家角色以及生物信息学科学家的作用。学生需学习多种编程语言,如PHP、Python和R,并且使用最相关的数据库来学习处理、解释数据。

    在程序中,无论是在Windows还是在Linux环境中,都应特别注重标准和基本工具的运用。

    秋季学期课程:

    课程

    学时

    学分

    网页技术:

    • Introduction to programming (HTML, CSS, PHP)

    • Basic concepts of visualizing data through web based applications

    • This course unit serves as a basis for subsequent programming course units.

    48

    5

    Linux操作系统

    • Installing and learning basic Linux commands

    • Drawing simple “bash” scripts

    • Installing popular bioinformatics tools (eg. BLAST, HMMR, …)

    48

    5

    基因组比较分析

    • Introduction to bioinformatics (sequence) databases

    • Aligning sequences and phylogenetic tree construction

    • (Natural) genetic variation

    48

    5

    脚本学习

    • Programming in Python

    • Scripting bioinformatics pipelines

    48

    5

    数据库技术

    • Basic database system structures and manipulations of databases (MySQL and MongoDB)

    • Principle to retrieve data from public databases (eg. Ensembl)

    48

    5

    结构生物信息学

    • Exploration of protein data bases

    • Visualisation of protein structures in PyMOL

    • Studying protein interactions

    48

    5

    交换学生英语-晚课(选修)

    This English course provides exchange students with an intensive training in speaking, listening, reading and writing skills, all focused on their ongoing or upcoming academic experience. The lecturer will take the diversity of academic areas of the participants into account, by addressing a range of topics and choosing subjects that are relevant to the attending students wherever possible. The course aims at the B2 proficiency level and uses the IELTS methodology. We strongly recommended it to all exchange students who have not fully achieved the B2-level in English at the moment of application for their mobility project. For the more proficient students, we still see the course as a useful immersion experience.

    20

    3

    春季学期课程:

    课程

    学时

    学分

    生物统计学R

    Introduction to R (installation, data manipulations, …)

    • Statistical analysis of biological datasets in R

    48

    5

    数据挖掘

    • Exploring and preprocessing biological datasets

    • Clustering of data

    • Constructing classification models

    48

    5

    高通量分析

    • Analysis of high-throughput biological data

    • Constructing data analysis pipelines

    48

    5

    系统生物学

    • Construction and simulation of biochemical networks

    • Construction and analysis of gene regulatory and/or protein interaction networks

    Only possible to choose if enrolling both autumn (period 1B) + spring semester (period 2C)

    5

    实习

    The final step in the advanced bachelor programme is the actual experience in the work field: the traineeship. The objective is to apply several learning outcomes in work situations. Because of its size in duration and ECTS and as it is the ideal step-up in the work field, the traineeship is the perfect method to function as a bioinformatician in a complex authentic situation.Only possible to choose if enrolling for all course units in both autumn + spring semester

    10

    交换学生英语-晚课

    This English course provides exchange students with an intensive training in speaking, listening, reading and writing skills, all focused on their ongoing or upcoming academic experience. The lecturer will take the diversity of academic areas of the participants into account, by addressing a range of topics and choosing subjects that are relevant to the attending students wherever possible. The course aims at the B2 proficiency level and uses the IELTS methodology. We strongly recommended it to all exchange students who have not fully achieved the B2-level in English at the moment of application for their mobility project. For the more proficient students, we still see the course as a useful immersion experience.

    20

    3

    要求:

    l 最低成功完成4学期,或取得在科学学士学位课程方面的120学分。

    l 对于秋季和春季学期,分子生物学学士学位的深入知识学习是强制性的,必须显示在学生的记录中。

    l 当不开展秋季学期的课程单元时,强烈建议学习基本的编程技能(课程单元bit01),以及适应在Linux环境下工作(课程单元bit02)。

    l 当学生参加春季学期,并选择bit09高通量分析课程,必须使用R编程技巧在Linux环境下的工作,除非参加bit07生物统计学R课程.

    英语要求;B2或

    托福:550(纸考)、79(在线考)、213(机考)或

    雅思5.5(各门不低于5)

    所有学生都应自带笔记本电脑,并具备以下最低要求:

    Windows、Mac或Linux操作系统

    i5或i7处理器

    至少8 GB RAM(16 GB RAM最佳)

    足够的磁盘空间

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