Two interactive Bioinformatics courses at the Bielefeld University Bioinformatics Server

Conferences in computational biology continue to provide tutorials on classical and new methods in the field. This can be taken as an indicator that education is still a bottleneck in our field's process of becoming an established scientific discipline. Bielefeld University has been one of the early providers of bioinformatics education, both locally and via the internet. The Bielefeld Bioinformatics Server (BiBiServ) offers a variety of older and new materials. Here, we report on two online courses made available recently, one introductory and one on the advanced level: (i) SADR: Sequence Analysis with Distributed Resources (http://bibiserv.techfak.uni-bielefeld.de/sadr/) and (ii) ADP: Algebraic Dynamic Programming in Bioinformatics (http://bibiserv.techfak.uni-bielefeld.de/dpcourse/).     

生物信息学

生物信息学是采用计算机技术和信息论方法研究生命科学中各种生物信息的表达;采集,储存,传递,检索,分析和解读的科学,是现代生命科学与信息科学,计算机科学,数学,统计学,物理学,化学等学科相互渗透和高度交叉形成的学科,本文简要介绍了现代生物信息学的主要研究领域。     

Bioinformatics

Bioinformatics is an interdisciplinary field that blends computer science and biostatistics with biological and biomedical sciences such as biochemistry, cell biology, developmental biology, genetics, genomics, and physiology. An important goal of bioinformatics is to facilitate the management, analysis, and interpretation of data from biological experiments and observational studies. The goal of this review is to introduce some of the important concepts in bioinformatics that must be considered when planning and executing a modern biological research study. We review database resources as well as data mining software tools.     

生物信息学

即将到来的21世纪,人类将全面进入生命科学时代和信息时代。生物信息学(Ｂｉｏｉｎｆｏｒｍａｔｉｃｓ)正成为当今备受关注的新型产业的支撑点。生物信息学是以生物大分子(ＤＮＡ和蛋白质)为分析对象,运用数理方法对其进行分析,来理解生物大分子的生物学意义。从国外近年研究进展来看,它已成为崭新的生物工程、医药产业和高科技农业的巨大推动力。有科学家预言,现今的生物科学在信息学的结合和推动下,将会发生一场革....     

Bioinformatics 2000

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

Bioinformatics in the post-genome era

Recent years saw a dramatic increase in genomic and proteomic data in public archives. Now with the complete genome sequences of human and other species in hand, detailed analyses of the genome sequences will undoubtedly improve our understanding of biological systems and at the same time require sophisticated bioinformatic tools. Here we review what computational challenges are ahead and what are the new exciting developments in this exciting field.     

Bioinformatics and cellular signaling

The understanding of cellular function requires an integrated analysis of context-specific, spatiotemporal data from diverse sources. Recent advances in describing the genomic and proteomic 'parts list' of the cell and deciphering the interrelationship of these parts are described, including genome-wide location analysis, standards for microarray data analysis, and two-hybrid and mass spectrometry approaches. This information is being collected and curated in databases such as the Alliance for Cellular Signaling (AfCS) Molecule Pages, which will serve as vital tools for the reconstruction and analysis of cellular signaling networks.     

Bioinformatics and drug discovery

Bioinformatics involves both the automatic processing of large amounts of existing data and the creation of new types of information resource. Both will be required if the data are to be transformed into information and used to help in the discovery of drugs.     

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。