信息学

MGD collaborates with the bioinformatics community on the development of data and semantic standards such as the Gene Ontology and the Mammalian Phenotype Ontology.

MGD和生物信息学社区一起开发数据和语义学标准，例如基因本体论和哺乳动物表型本体论。

Multiple sequence alignment is a common and important sequence analysis method in bioinformatics.

多序列比对是生物信息学中基础而又重要的序列分析方法。

Multiple sequence alignment and phylogenetic analysis are important study fields in bioinformatics.

多序列比对和系统发育分析是生物信息学的重要研究领域。

It's among hot topics in bioinformatics to develop programs for multiple sequence alignment.

1引言在生物信息学发展中，多序列比对程序的开发是一个非常活跃的研究领域(Brayet al。，2003；Pollardet al。，2004)。

Protein multiple sequence alignment is an important bioinformatics tools. It has important applications in biological evolution analysis and protein structure prediction.

蛋白质多序列比对是一种重要的生物信息学工具，在生物的进化分析以及蛋白质的结构预测方面有着重要的应用。

In this thesis, it introduces the development, research and database of bioinformatics first, then some methods of alignment are described,such as dot matrix sequence comparison,dynamic programming algorithm for sequence global alignment,Smith-Waterman algorithm31ast algorithm,MUMmer,PatternHunter and so on.

本文对生物信息学的发展、研究内容、生物数据库做了简单的介绍，对序列比对的各种算法：点阵法、动态规划全局比对算法、Smith—Waterman算法、启发式Blast算法、MUMmer、PatternHunter算法等做了描述，并从运行速度和敏感性两个角度进行了比较。

Nucleotide and protein sequences are the foundation for all bioinformatics tools and resources.

核酸和蛋白质序列是所有生物信息学工具和资源的基础。

Several samples can be used in an experiment, so there is a one-to-many relationship between tblExperiment and tblExperimentSampleUse.

简介：虽然关系数据库广泛应用于生物信息学数据的存放和保存，但他们还没有被广泛的接受用于免疫学管理实验室数据，如ELISpot和流式细胞术试验产生的数据。

A case study describes the construction and testing of a simple tool designed to tackle a task that is crucial to almost any application of text mining in bioinformatics--identifying gene/protein names in text and mapping them onto records in an external database.

一个案例研究描述了被设计用来解决一个任务的简单的工具构建和测试，该任务对于生物信息学中文本挖掘的几乎所有应用--识别文本中的基因/蛋白质名字并将它们映射到一个外部数据库的记录上--都是重要的。

Identification of replication origination regions is one of the hotspots in bioinformatics field.

复制起始区域的识别是生物信息学关注的热点之一。

This one mode pays close attention to network credence foundation of the businessman very much.

这一模式非常关注商人的网络信用基础。

Cell morphology of bacterial ghost of Pasteurella multocida was observed by scanning electron microscopy and inactivation ratio was estimated by CFU analysi.

扫描电镜观察多杀性巴氏杆菌细菌幽灵和菌落形成单位评价遗传灭活率。