生物信息学创新教学模式初探

生物信息学是生物科学中一门新兴的前沿学科。针对目前国内生物信息学教学现状,基于其他学科的成功教学模式,结合生物信息学课程特点,提出“以知识为中心,理论教学与实验教学有机结合”的教学模式。     

《生物信息学》课程教学方法探索与实践

从教学实践出发,探讨开设生物信息学选修课的教学大纲、内容及方法,为提高学生综合能力提供一种教学模式。     

信息技术与生物信息学实验教学整合的探索与实践

在生物信息学实验教学中,通过优化实验内容,构建多媒体网络同步教学系统为基础的生态课堂,实现了信息技术与生物信息学实验教学的有效整合,极大地提高了实验教学的效果,有利于创新人才的培养。     

Bioinformatics in glycobiology

In comparison with genes and proteins, attention paid to oligosaccharides that modify proteins is still marginal. Accordingly, bioinformatics is so far poorly involved in glycobiology. Some initiatives have been taken, however, to collect in databases all glycobiology-relevant information or to design specific data mining algorithms to infer predictions or identify oligosaccharide structures. In this review, we make a non-exhaustive survey of the available glycobiology-related bioinformatic resources, focussing mainly on those resources that are available through the World Wide Web. Some well-curated databases are identified, but the development of specialised algorithms appears to be limited.     

Chemistry in Bioinformatics

 

Chemical information is now seen as critical for most areas of life sciences. But unlike Bioinformatics, where data is openly available and freely re-usable, most chemical information is closed and cannot be re-distributed without permission. This has led to a failure to adopt modern informatics and software techniques and therefore paucity of chemistry in bioinformatics. New technology, however, offers the hope of making chemical data (compounds and properties) free during the authoring process. We argue that the technology is already available; we require a collective agreement to enhance publication protocols.     

网络上的生物信息资源

生物信息学是生命科学中最活跃的领域之一。目前,生物信息资源的利用已实现了高度的网络化。算法和软件的进步、数据库的一体化、服务器－客户模式的建立使之成为生物、医药、农业等学科强有力的工具。     

Bioinformatics in bioinorganic chemistry

Bioinformatics is a central discipline in modern life sciences aimed at describing the complex properties of living organisms starting from large-scale data sets of cellular constituents such as genes and proteins. In order for this wealth of information to provide useful biological knowledge, databases and software tools for data collection, analysis and interpretation need to be developed. In this paper, we review recent advances in the design and implementation of bioinformatics resources devoted to the study of metals in biological systems, a research field traditionally at the heart of bioinorganic chemistry. We show how metalloproteomes can be extracted from genome sequences, how structural properties can be related to function, how databases can be implemented, and how hints on interactions can be obtained from bioinformatics.     

Software patents in Bioinformatics

Bioinformatics has published papers describing new softwarefor over 20 years (Nilsson and Klein 1985).     

Bioinformatics 2000

A report from the Bioinformatics 2000 conference [], held in Elsinore, Denmark, 27-30 April, 2000.     

生物信息学及其在蛋白质组学中的应用

随着基因组学和蛋白质组学的发展,生物信息学在数据处理中的应用已经越来越广泛。作为数据处理中越来越重要的分析手段,蛋白质组学数据库是蛋白质组学的主要内容之一。本文分别从生物信息学的蛋白质双向电泳数据库和基于蛋白质质谱结果的数据库两个方面,概述了发展中的蛋白质数据库的最新动态和有关信息,同时对主要的热门蛋白质组学数据库站点和资源进行了评价和分析。     

生物信息学中的数据库技术

生物信息学是近年来发展最快的学科之一,各类生物信息数据库不断的涌现。随着生物分子数据量的迅速膨胀,数据结构日趋复杂,生物信息学对数据库技术提出了更高的要求。本文讨论了目前生物信息学中数据库技术的发展现状、面临的问题和未来趋势,主要包括数据库管理、数据库分析、数据库集成等。