介绍了基因组信息学的概念、研究内容和方法及其在实践中应用的意义。
This paper sets forth the concept of informatics of genome and the research content, method and significance of application in practice.
而该研究所的主要研究项目有哺乳动物基因收集、遗传变异、基因组信息学和计算生物学、基因组技术等等方面。
And the main research programs of the institute include mammalian gene collection, genetic variation, genome informatics and computational biology, genome technology and so on.
基因组学、生物信息学和许多其他新学科揭示的生命奥秘越多，我们目前所了解的不足于胜任这一工作就变得越明显。
The more that genomics, bioinformatics and many other newer disciplines reveal about life, the more obvious it becomes that our present understanding is not up to the job.
相比之下，生物信息学的搜索系统使用的是一对算法，基本上是将一个基因组中的数据与另一个基因组中的数据进行比对。
Bioinformatics searches, by contrast, use a couple algorithms that basically compare the data from one genome to the data from another.
这些实验方法已资助在高通量的基因组和表观基因技术，集成系统生物学和生物信息学的巨大进步。
These experimental approaches have been aided by tremendous advances in high-throughput genomic and epigenomic technologies, integrated systems biology and bioinformatics.
随着基因组测序计划产生大量的序列数据，数据库序列相似性搜索已经成为生物信息学中识别潜在同源序列的一个首要工具。
With genome sequencing projects producing huge amounts of sequence data, database sequence similarity search has become a central tool in bioinformatics to identify potentially homologous sequences.
从生物信息学的结构层次来定义，它是一个学科领域，包含着基因组信息的获取、处理、存储、分配、分析和解释的所有方面。
Genome informatics is a scientific discipline that encompasses all aspects of genome information acquisition, processing, storage, distribution, analysis, and interpretation. The U. s.
人类基因组计划的启动和实施使得核酸？蛋白质数据迅速增长，如何从海量数据中获取有效信息成为生物信息学迫切要解决的问题。
With the startup and implementation of Human Genome Plan, nucleic acid and protein data has been increased rapidly. It is an urgent problem that how to gain useful information from plentiful data.
内容、特色、意义运用分子生物学技术和生物信息学分析方法，比较研究动物基因、基因组的演化，揭示动物类群的进化和系统生物学关系。
The researches are focus on comparison of the animal genes or genomes evolution for revealing phylogenetic relationships among lineages using the molecular biotechnique and bioinformatics method.
介绍了基因工程及其在基因检测与基因治疗、生物反应器工程、蛋白质工程与代谢工程，基因组计划与生物信息学等相关领域的进展。
Recent progress in gene engineering and related fields such as gene diagnosis, therapy, bioreactor, protein engineering, metabolism engineering, human genome project, bioinformatics is reviewed.
利用结构生物信息学方法进行蛋白质的理性设计，将会在后基因组时代的生物学研究和蛋白药物开发中起到越来越重要的作用。
Structural bioinformatics based rational protein design will play important role in biological research and development of protein therapeutics in the post genome era.
随着人类基因组计划的完成，应用生物信息学技术预测蛋白质结构与功能将成为后基因组时代的一项重要任务。
With the completion of human genome project, prediction and analysis of protein structure and function by using informatics has become one of the most important tasks of after the genome project.
生物信息学与毒理基因组学研究的结合为环境与健康研究开辟了新的方法。
The combination of bioinformatics and toxicogenomics may develop a new method for the study of environment and health.
用生物信息学、分子遗传学和基因组学等手段，研究小鼠基因组功能及发育分子机理。
Using bioinformatics, molecular genetics, genomics and other approaches to study mouse functional genomics and mechanism of developmental biology.
本文介绍一种基于基因组扫描(鸟枪法)和生物信息学相结合的寻找微生物新化合物的平台。
A new platform based on the genome scanning technology (shot gun) and bioinformatics to discover novel compounds from microbial origin was introduced.
用功能基因组学、分子流行病学和生物信息学等手段，研究非小细胞肺癌的转移机理、脑胶质瘤的发生机理。
Using functional genomics, molecular epidemiology, bioinformatics and other approaches to study the metastasis mechanism of NSCLC, and carcinogenesis of glioma.
在各种生态环境中筛选微生物新种，监测微生物群落结构，并结合生物信息学进行微生物元基因组研究。
Classification of novel isolates, analysis of microbial population, and study of metagenomics with the support of bioinformatics from variant environments.
在药物基因组学，临床生物信息学由生物信息学工具和药物靶点的鉴定、临床验证相关的蛋白质组学等多方面研究组成。
In pharmacogenomics, clinical bioinformatics includes elaborate studies of bioinformatics tools and various facets of proteomics related to drug target identification and clinical validation.
在药物基因组学，临床生物信息学由生物信息学工具和药物靶点的鉴定、临床验证相关的蛋白质组学等多方面研究组成。
In pharmacogenomics, clinical bioinformatics includes elaborate studies of bioinformatics tools and various facets of proteomics related to drug target identification and clinical validation.
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