生物信息学本科专业建设现状

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。     

生物信息学数据库调查分析及其利用研究

从生物信息学数据库利用的角度调查分析生物信息学数据库的现状,为我国科研人员利用网上生物信息学数据库以及生物信息中心的开发提供科学依据和参考价值。研究采用网上调查的方法,对法国生物信息中心Infobiogen建立维护的生物信息学数据库目录DBcat中收录的511个数据库进行调查统计,分析其类型分布、国家分布、更新频率和获取方式;在此基础上。进一步利用欧洲分子生物学信息网(EMBnet)中30个成员国节点对生物信息学数据库利用现状进行统计分析。     

生物信息学及其在菌物学研究上的应用

主要介绍生物信息学的基本概念、发展历程、特点、研究领域、面临的挑战以及生物信息学在菌物研究上的应用成果。分析了生物信息学在菌物研究方面的应用前景,并提出了研究和开发的建议。     

生物信息学的研究现状及其发展问题的探讨

结合生物信息学产生的历史条件,对生物信息学的定义进行了介绍;归纳总结了现代生物信息表述、采集、储存、传递、检索的表现形式-生物学数据库的分类与分布;着重介绍了生物信息学的主要研究内容和基本的分析方法,阐明了生物信息的分析和解读模式;强调了生物信息学与其他相关学科的相关性,提出了生物信息学发展的一些亟待解决的问题及其相应的解决方案。     

文本分析技术在蛋白质生物信息学中应用的案例综述

海量数据时代考察文本分析技术在生物信息学领域的应用具有重要的理论和现实价值。本文讨论了文本分析在蛋白质计算分析中的几个应用实例以及核心技术内容。文本分析技术应用于生物信息学领域可发挥引领和导向作用,在生物信息学中的应用又进一步促进了文本分析技术的发展。文本分析技术虽然广泛在生物信息学中应用,但是其发展仍然有需要尚待解决的几个问题,本文对此也进行了讨论。     

生物信息学在基因芯片中的应用

生物信息学和基因芯片是生命科学研究领域中的两种新方法和新技术,生物信息学与基因芯片密切相关,生物信息学促进了基因芯片的研究与应用,而基因芯片则丰富了生物信息学的研究内容。本论文探讨生物信息学在基因芯片中的应用,将生物信息学方法运用到高密度基因芯片设计和芯片实验数据管理及分析。从信息学的角度提出基因芯片设计准则,提出寡核苷酸探针的优化设计方法,将该方法运用于再测序型芯片和基因表达型芯片的设计,在此基础上研制出高密度基因芯片设计软件系统和实验结果分析系统。     

基于共词分析的国内生物信息学热点领域研究

利用共词分析和可视化方法对生物信息学的关键词进行聚类分析,探讨该研究领域的学科分类和热点内容.以中国知网、中华医学会数据库中期刊论文为统计来源,对1998～2013年间的5 707篇生物信息学相关文献进行计量分析,提取出40个高频关键词.利用ROST软件得到关键词共词矩阵,在此基础上利用SPSS进行因子分析、聚类分析和多维尺度分析.结合因子分析和聚类分析将生物信息学领域主要研究内容分为7类,结合多维尺度分析对研究热点及变化趋势进行了初步探讨.研究结果较为客观地反映了当前生物信息学领域的学科分类和研究热点,为科研人员进行生物信息学研究提供一些思路.     

生物信息学本科人才培养的调研与思考

近年来,生物信息学已经逐步发展成为现代生物学和医学等领域的关键技术方法,社会对生物信息学专业人才的需求不断扩大,生物信息学的本科教育也受到了越来越多的关注和重视。为了探索更加合理的人才培养模式、完善课程设置和教学计划,本文以中美两国开设生物信息学本科专业的高校为对象,分别选取一些代表高校并进行深入调研,对比分析课程设置和人才培养现状。结果显示,生物信息学的跨学科性质在各高校中均得到一定体现,培养学生具有多元化的知识结构已经成为生物信息学人才培养的一项共识。同时,根据调研的结果,也对国内生物信息学本科教育提出一些启发与建议。     

生物信息学课程“开放式、研究性”教学模式的探讨

生物信息学是20世纪分子生物学和计算机科学交叉结合产生的新学科,是目前生命科学最具活力的前沿领域之一。根据生物信息学的学科特点及对国外医学生物信息学教育特点的分析,结合现代教育技术,就构建一种复合的开放式（问题探究型、小组协作探究型）、研究性（“招标式小组”、“因才施教”的专题研究型）生物信息学课程教学模式进行探讨,为我国生物信息学课程改革和与国际接轨提供指导。     

面向生物信息学的工作流管理系统框架

生物信息学实验的实施通常需要整合多种类型的数据和工具,随着大量的web服务、算法程序和分析工具的出现,如何高效整合这些可用资源共同完成分析实验是当前生物信息学研究的重要内容之一,工作流技术已经成为解决这类问题的一种通用机制.然而,生物信息学工作流的实施涉及高通量数据的计算与存储,同时面临着资源异构性和分布性的挑战.本文首先介绍了生物信息学工作流的基本机制,然后阐述了面向生物信息学的工作流管理系统框架,最后讨论了框架应用中存在的问题和可能的解决途径.     

Interdisciplinary integration in biology? An overview

Philosophical theories about reduction and integration in science are at variance with what is happenign in science. A realistic approach to science show that possibilities for reduction and integration are limited. The classical ideal of a unified science has since long been rejected in philosophy. But the current emphasis on interdisciplinary integration in philosophy and in science shows that it survives in a different guise. It is necessary to redress the balance, specifically in biology. Methodological analysis shows that many of the grand interdisciplinary theories involving biology actually represent pseudo-integration covered up by inappropriate, overgeneral concepts. Integrationism is not bad, but it must be kept within reasonable bounds. If the present analysis is appropriate, there will have to be fundamental changes in research strategy both in science and in the philosophy of science.     

Public discourses of stem cell science in Singapore (1997–2010)

In most industrialized countries, policy debates around stem cell science manifest in public discourse. Assuming that a functioning public sphere exists where matters of science policy can be discussed, examination of these discourses can help provide an understanding of how science policies evolve. The aim of this paper is to provide a preliminary analysis of how the public discourses around stem cell science have developed in Singapore. Using a theoretical model of “focused discourse,” our analysis indicates that there have been five distinct phases, marked by discernible shifts that reflect important changes in how biomedical science is funded in Singapore. While our results are preliminary, we argue that public discourses around science policies do exist in Singapore but are limited by a lack of diversity that would be expected in a more heterogeneous public sphere.     

Quantitative behavior analysis and human values

Many scientists believe that among the virtues of quantitative science are that its facts are free from personal, social, political, economic, and other cultural influences, or at least, if they are not, they should be. Radical behaviorism suggests, however, that a science of behavior must apply to peoples' everyday professional behaviors, including those of quantitative behavior analysts. The behaviors of quantitative behavior analysts, however, like the behaviors of everyone else, depend on the cultures to which they belong. A quantitative science of behavior must therefore describe and explain the cultural and human values of quantitative behavior analysts. In this sense, a quantitative science of behavior must apply to itself. No such "reflexive behavior analysis" currently exists and its development might shed considerable light on the basic nature of behavior analysis.     

生物芯片与肿瘤研究

生物芯片技术是指通过微加工和微电子技术,在芯片表面构建微型生物化学分析系统,对组织细胞中的蛋白质、DNA或者其他生物组分进行高通量检测。生物芯片广泛应用于生命科学、司法鉴定、食品及营养科学、环境科学、农林科学、军事科学等多种领域。本文重点对其在肿瘤研究和诊断治疗中的应用做一简要综述。     

The Importance of the History of Science to the American Society of Zoologists

As the history of science has developed as a professional intellectualdiscipline, it has had and will continue to have an importantrole in defining science and its place in our culture. Suchdefinitions should be based on as much information as possible.Scientists can help supply some of this information throughparticipation in symposia on the history of science. In addition,scientists can learn much about the nature of their disciplineby becoming aware of the concepts of science which are derivedfrom the careful analysis of its history. Efforts should bemade to bring historians of science and scientists togetherfor their mutual benefit.     

Review: To be or not to be an identifiable model. Is this a relevant question in animal science modelling?

What is a good (useful) mathematical model in animal science? For models constructed for prediction purposes, the question of model adequacy (usefulness) has been traditionally tackled by statistical analysis applied to observed experimental data relative to model-predicted variables. However, little attention has been paid to analytic tools that exploit the mathematical properties of the model equations. For example, in the context of model calibration, before attempting a numerical estimation of the model parameters, we might want to know if we have any chance of success in estimating a unique best value of the model parameters from available measurements. This question of uniqueness is referred to as structural identifiability; a mathematical property that is defined on the sole basis of the model structure within a hypothetical ideal experiment determined by a setting of model inputs (stimuli) and observable variables (measurements). Structural identifiability analysis applied to dynamic models described by ordinary differential equations (ODEs) is a common practice in control engineering and system identification. This analysis demands mathematical technicalities that are beyond the academic background of animal science, which might explain the lack of pervasiveness of identifiability analysis in animal science modelling. To fill this gap, in this paper we address the analysis of structural identifiability from a practitioner perspective by capitalizing on the use of dedicated software tools. Our objectives are (i) to provide a comprehensive explanation of the structural identifiability notion for the community of animal science modelling, (ii) to assess the relevance of identifiability analysis in animal science modelling and (iii) to motivate the community to use identifiability analysis in the modelling practice (when the identifiability question is relevant). We focus our study on ODE models. By using illustrative examples that include published mathematical models describing lactation in cattle, we show how structural identifiability analysis can contribute to advancing mathematical modelling in animal science towards the production of useful models and, moreover, highly informative experiments via optimal experiment design. Rather than attempting to impose a systematic identifiability analysis to the modelling community during model developments, we wish to open a window towards the discovery of a powerful tool for model construction and experiment design.     

Tribute to Tinbergen: Public Engagement in Ethology

Public engagement in research, called citizen science, has led to advances in a range of fields like astronomy, ornithology, and public health. While volunteers have been making and sharing observations according to protocols set by researchers in numerous disciplines, citizen science practices are less common in the field of animal behavior. We consider how citizen science might be used to address animal behavior questions at Tinbergen's four levels of analysis. We briefly review resources and methods for addressing technical issues surrounding volunteer participation—such as data quality—so that citizen science can make long‐standing contributions to the field of animal behavior.     

An outline for data analysis in phytosociology: past and present

As vegetation science develops its formalized methodology increased in importance. At the beginning of the century traditional European schools of phytosociology applied an intuitive classification and ordering scheme to establish vegetation units. The introduction of computer-supported data analysis into vegetation science accelerated the formalization. The present paper presents a formal outline for phytosociology and community analysis. In this scheme we distinguish different data states which are connected by active data handling. Data sampling and subsequent analysis can be understood as filtering processes, making theoretical assumptions in vegetation science very important. The model implied provides a basis for discussing potential problems and possibilities in vegetation science.Abbreviations PCA = Principal Component Analysis     

Biology in the secondary science curriculum

The search for a model of balanced science has not so far been based on a detailed analysis of the nature and effects of the science curriculum. The present paper attempts to begin to fill the gap, from the perspective of biology, using data from the Assessment of Perform-ance Unit (APU). It is shown that, in England, the uptake of the subject as an option outstrips that of the other sciences, with pupils quoting its intrinsic interest as their motivation. Biology serves to attract to science pupils of all abilities and girls in particular. The other sciences are not so successful in this sphere. However, performance data show that the study of biology is not as effective in enhancing science performance as are the physical sciences.     

Karl Popper,Forensic Science,and Nested Codes

This paper utilizes the framework of Karl Popper’s 3-world ontology to make the case that forensic science is a specialized coding system that establishes meaningful connections between the world of biology (world 1) and the world of human society (world 3). Forensic science is a cross-disciplinary endeavor that uses scientific methods to determine what transpired in a crime so the legal system can determine how to prosecute the offender(s). On a Popperian analysis of forensic science, world 1 consists of evidence gathered at the crime scene, which enables investigators to develop a detailed reconstruction of the incident for consideration under the legal and ethical codes of society, which are products of world 3. Understanding forensic science in this way serves two purposes: first, it extends Marcello Barbieri’s code biology into the realm of philosophical considerations in science, law and ethics; and second, it situates forensic science within the larger context of debates in contemporary philosophy of science.