共查询到20条相似文献,搜索用时 78 毫秒
1.
2.
生物信息学是建立在生命科学和计算机数学基础上的综合学科,其本质是信息技术在生物学中的应用。对于微生物领域而言,生物信息学对数据的整理和应用可以极大地提升微生物研究的质量。因此,文章采用文献研究的方法,积极搜集生物信息学在微生物中的应用研究,首先概述了生物信息学的组成部分,然后对微生物学的建立与发展进行了详细说明,最后探讨了生物信息学在微生物生态学、环境微生物、农业微生物、微生物药物合成设计以及微生物致病基因5个方面的应用。 相似文献
3.
在教学实践的基础上,结合生物信息学课程的学科特点,以及现代教育技术,就开设生物信息学课程的必要性及构建最合适的复合型教育模式展开了初步的探讨,为我国生物信息学课程的教学实施提供指导。随着时代的不断进步和发展,生物信息学的内涵也在不断扩大,包括生物信息学所涉及到的计算机基础知识、生物学基础知识、生物信息学研究领域、生物信息学应用领域等等。在生物信息学的教学实施过程中,将多个基础学科交叉融合是必备的,这不仅有助于增强学生对生物信息学科的了解,也对于学生在后续的生物信息学研究中起到了基石的作用。因此,如何将这些涉及范围广、涉及内容深的生物信息学基础课程恰当的传授给学生是教师们最需要考虑的问题,从而形成一套独特的教学体系,使生物信息学的教学工作更顺利,完整的进行下去。 相似文献
4.
5.
6.
《中国生物工程杂志》2005,25(4):28-28
生物信息学方法指南 S.米塞诺,S.A.克拉维茨著欧阳红生等译 2005年3月出版7-03-014465-1/Q.1498定价:58.00 计算机在管理生物学日益增长的海量数据方面起到了不可估量的作用,并推进了现代生物学的快速发展。本书详细 介绍了一些重要生物学软件和数据库的使用,同时提供了一些实用的技巧和最新研究进展。全书分为五部分,包括序列分 析软件包、分子生物学软件、网络信息资源、计算机和分子生物学的关系、生物信息学教学与最新文献跟踪。内容全面,实用 性较强,可帮助生物信息学人员对该学科有更深入地了解。本书可作为大专院校、科研机构的分子生物学、生物信息学等 相关专业的研究生、科研和教学人员的参考书。 相似文献
7.
随着分子生物信息数据量高速增长,生物信息学面临着大规模、高通量、密集型计算的巨大挑战。为有效利用计算机资源,缩短高通量生物信息计算程序执行时间,我们基于Globus Toolkit网格中间件,实现了一个支持高通量生物数据计算的网格系统(Biological Data Computing Grid,简称BDCGrid)。BDCGrid计算网格系统模型可以有效整合中小型生物信息学实验室计算机资源,大大缩短高通量生物信息计算程序执行时间,为相关研究人员利用现有计算机资源处理大规模、高通量生物信息计算任务提供一种新的途径。 相似文献
8.
国内外生物信息学数据库服务新进展 总被引:16,自引:0,他引:16
生物信息学是生命科学中最活跃的领域之一. 各类生物信息学数据库在近年不断出现,其规模呈爆炸趋势增长,同时数据结构日趋复杂. 目前生物信息学数据库服务已实现了高度的计算机和网络化. 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、农业等学科的强有力工具. 在国内北京大学物理化学研究所于1996年建立了第一家生物信息学网络服务器. 现已为国内外科学家提供了7万余次服务,在国际上具有一定影响. 相似文献
9.
目的:研究生物信息学起源、发展趋势,与其他学科相互交叉渗透关系的发展及强度。方法:利用美国《科学引文索引》(SCI)数据库web of science,运用文献计量学方法对8种权威生物信息学期刊2001年至2010年于2011年1月15日之前上传至webof science的全部文献进行统计及分析。通过研究生物信息学相关论文的主题分类,被引情况及施引文献的分类,寻找其跨学科的趋势及相关研究领域的进展情况、主要内容。结果:生物信息学的相关文献数在2001-2010间逐年增加,在2009-2010年达到高峰。跨学科领域广泛,并以生物化学、分子生物学、计算生物学、微生物学、数学、统计学等学科为主要交叉学科。各交叉学科与生物信息学之间跨学科研究的文献数也呈逐年递增趋势。结论:生物信息学的跨学科范围广泛,发展迅速。 相似文献
10.
11.
12.
The completion of the human genome project, and other genome sequencing projects, has spearheaded the emergence of the field of bioinformatics. Using computer programs to analyse DNA and protein information has become an important area of life science research and development. While it is not necessary for most life science researchers to develop specialist bioinformatic skills (including software development), basic skills in the application of common bioinformatics software and the effective interpretation of results are increasingly required by all life science researchers. Training in bioinformatics is increasingly occurring within the university system as part of existing undergraduate science and specialist degrees. One difficulty in bioinformatics education is the sheer number of software programs required in order to provide a thorough grounding in the subject to the student. Teaching requires either a well-maintained internal server with all the required software, properly interfacing with student terminals, and with sufficient capacity to handle multiple simultaneous requests, or it requires the individual installation and maintenance of every piece of software on each computer. In both cases, there are difficult issues regarding site maintenance and accessibility. In this article, we discuss the use of BioManager, a web-based bioinformatics application integrating a variety of common bioinformatics tools, for teaching, including its role as the main bioinformatics training tool in some Australian and international universities. We discuss some of the issues with using a bioinformatics resource primarily created for research in an undergraduate teaching environment. 相似文献
13.
With the rapid pace of advancements in biological research brought about by the application of computer science and information technology, we believe the time is right for introducing genomics and bioinformatics tools and concepts to secondary school students. Our approach has been to offer a full-day field trip in our research facility where secondary school students carry out experiments at the laboratory bench and on a laptop computer. This experience offers benefits for students, teachers, and field trip instructors. In delivering a wide variety of science outreach and education programs, we have learned that a number of factors contribute to designing a successful experience for secondary school students. First, it is important to engage students with authentic and fun activities that are linked to real-world applications and/or research questions. Second, connecting with a local high school teacher to pilot programs and linking to curricula taught in secondary schools will enrich the field trip experience. Whether or not programs are linked directly to local teachers, it is important to be flexible and build in mechanisms for collecting feedback in field trip programs. Finally, graduate students can be very powerful mentors for students and should be encouraged to share their enthusiasm for science and to talk about career paths. Our experiences suggest a real need for effective science outreach programs at the secondary school level and that genomics and bioinformatics are ideal areas to explore. 相似文献
14.
真菌是真核生物的一大类群,主要包含酵母、霉菌之类的微生物以及最为人所熟知的菇类,无论是在生态、生命周期以及形态都有很大的差别.然而,到目前为止,对于真菌界的了解还很少,预估大约有150万个物种,之中已知种约占5%.1986年,美国科学家Thomas Roderick提出了基因组学概念,1990年代几个物种基因组计划的启动,揭开了历史性的一页.随着生物实验技术和信息处理技术的迅速发展与提高,生物信息学的概念应运而生,利用数学、信息学、统计学和计算机科学的方法研解决生物学的问题.介绍真菌的测序技术,概述了真菌基因组学、转录组学、蛋白质组学等方面的进展,并对真菌生物信息学的未来研究内容进行展望. 相似文献
15.
In this age of data‐driven science and high‐throughput biology, computational thinking is becoming an increasingly important skill for tackling both new and long‐standing biological questions. However, despite its obvious importance and conspicuous integration into many areas of biology, computer science is still viewed as an obscure field that has, thus far, permeated into only a few of the biology curricula across the nation. A national survey has shown that lack of computational literacy in environmental sciences is the norm rather than the exception [Valle & Berdanier (2012) Bulletin of the Ecological Society of America, 93, 373–389]. In this article, we seek to introduce a few important concepts in computer science with the aim of providing a context‐specific introduction aimed at research biologists. Our goal was to help biologists understand some of the most important mainstream computational concepts to better appreciate bioinformatics methods and trade‐offs that are not obvious to the uninitiated. 相似文献
16.
17.
《Biochemical education》1998,26(1):3-10
Bioinformatics is the name that has become associated with the theoretical and applied field of study that links computer science with modern biology. Within molecular biology specifically, bioinformatics is a generic term used to describe many of the analytical manipulations that can be carried out on sequences. Familiarity with the resources available and fundamental methods used for such analyses should be an essential part of a modern biology course, especially given the availability of WWW resources. In this article, some of these resources are summarised and their possible integration into a short practical undergraduate teaching unit is described. 相似文献
18.
随着后基因组时代的到来,生物信息学逐渐进入了黄金发展期。生物信息学教育体系的建立和完善是永葆生物信息学活力的关键。国际和国内的生物信息学本科专业建设情况的分析显示全球生物信息学本科教育均处于起始阶段。深刻剖析了内蒙古自治区生物信息发展的瓶颈问题以及内蒙古科技大学开设生物信息学本科专业的优势和必要性。未来,随着测序技术、计算机技术等的进步,生物信息学将继续蓬勃发展;生物信息学人才的需求将不断扩大。为适应人才市场的需求,预计会有越来越多的高等院校将加入到中国的生物信息学本科教育事业。 相似文献
19.
Moore JH 《Journal of cellular physiology》2007,213(2):365-369
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. 相似文献
20.