生物信息学

基于WEBOFSCIENCE的生物信息学文献分析

Analysis of Bioinformatics literatures Based on Web of Science

用MATLAB生物信息学工具箱分析人类线粒体基因序列

Gene sequence analysis of homo mitochondrion using MATLAB bioinformatics toolbox

接着论文展开讨论生物信息学中的DNA序列联配问题。

Then DNA sequence alignment and analysis is discussed .

华支睾吸虫ATP合酶B亚基全长基因的生物信息学分析

Bioinformatics Analysis of the Full-Length Clonorchis sinensis ATP Synthase B Chain-Like Gene

其中主要任务是建立一个通用的基于XML技术和GeneOntology（基因本体）整合的生物信息学数据库系统。

The main task is to build a integrated bioinformatics database via XML and Gene Ontology .

并通过生物信息学方法获得了目的蛋白的抗原表位和3D结构模型。

The antigen epitope and 3D structure model of Cr-pII were predicted by biological information methods .

生物信息学在新基因全长cDNA序列分析及功能预测中的应用

Application of Bioinformatics in Full-length cDNA Sequence Analysis and Function Prediction of Novel Genes

白纹伊蚊Rh类糖蛋白基因的克隆与生物信息学分析

Cloning and Bioinformatics Analysis of A Rhesus-like Glycoprotein from Aedes albopictus

与此同时，生物信息学的飞速发展和大量生物学软件的开发，为分析庞大的DNA序列数据提供了有效的工具。

At the same time , the fast evolution of bioinformatics and the exploitation of lots of softwares provide effective tools for DNA sequence analysis .

利用SFU开发Windows和Linux异构环境下的分布式生物信息学应用

Developing distributed bioinformatics applications in Windows / Linux heterogeneous environments using SFU

球毛壳菌pdc基因克隆及生物信息学分析

Cloning and Bioinformatics Analysis of pdc Gene from Chaetomium globosum

IGF作用机理的研究进展及其与生物信息学的联系

Study on the Mechanism of Insulin-like Growth Factor and Application of Bioinformatics

隐马尔可夫模型（HiddenMarkovmodel）用于多序列比对研究是生物信息学研究的新领域，其可以通过训练识别同一特征的蛋白质序列。

Hidden Markov model used in multiple alignment is a new field of bioinformatics . It can be used to distinguish protein sequence with the same characterstics .

将获得的阳性噬菌体克隆进行DNA测序，应用多种生物信息学软件将多肽序列进行比较分析，推导与炎性相关趋化因子广谱结合的的小分子十二肽。

Sequenced positive phage clones , used a variety of bioinformatics software to analysis peptide sequence and found the broad spectrum of inflammatory chemokine binding peptide . 4 .

运用PCRmapping、DNA测序技术和生物信息学手段，对一株临床分离耐亚胺培南铜绿假单胞菌进行整合子结构分析。

With PCR-mapping , DNA sequencing and bioinformatics approach , structure of an integron in a clinical isolate of Pseudomonas aeruginosa resisting to imipenem was studied .

生物信息学分析表明该蛋白包含两个保守的结构域（A盒和B盒）及含酸性氨基酸的C末端，同时存在多个潜在的抗原决定簇。

The bio-information analysis demonstrated that the protein had two conservative domains ( A box and B box ) and acidic C-terminal tails , as well as multiple potential antigenic determinants .

生物信息学分析表明，与其他冠状病毒相比，SARS冠状病毒的E蛋白一级结构和二级结构非常保守，跨膜区尤其保守。

Bioinformatics analysis indicated that the key residues of SARS E protein were much conserved compared to the E proteins of other coronaviruses .

生物信息学分析结果表明该基因编码ATP依赖的Clp蛋白酶。

Sequence analysis revealed that pi-hit-1 gene encodes a member of ATP-dependent Clp protease family .

本论文提出并建立了一个生物信息学网格应用系统&BOD（BioinformaticsOn-Demand）。

This dissertation proposed and established a bioinformatics Grid application system , BOD ( Bioinformatics On-Demand ) .

Her-2基因启动子及第一内含子的生物信息学分析

An Analysis of Bioinformation Human Her-2 Gene Proximal Promoter and the First Intron

胃癌S100基因表达的生物信息学分析及S100A3与胃癌相关性研究

In Silico Analysis and Verification of S100 Gene Expression in Gastric Cancer

研究结果为今后利用鱼类基因组数据库和生物信息学快速鉴定新的鱼类功能基因打下了方法学基础，也为进一步开展鱼类IL-2基因功能研究提供了科学依据。

This report provided a quick method to identify new functional genes of fish through utilizing fish genomic databases and bioinformatics .

用生物信息学方法预测与心血管疾病相关的微RNAs

Prediction of the microRNAs related to cardiovascular diseases by bioinformatics

乙醇脱氢酶（ADH）家族生物信息学分析

Analysis of Alcohol Dehydrogenase ( ADH ) Family by Bioinformatics

利用生物信息学软件预测，获得了2个候选的miRNA及4032个靶基因位点。

Two candidate new miRNA and 4032 target gene site were predicted with bioinformatics soft .

目的基因的PCR扩增，并将所得PCR反应产物通过琼脂糖凝胶电泳检测，用以进行氨基酸序列和及其生物信息学的分析。

PCR amplification of the target gene and PCR reaction products obtained by agarose gel electrophoresis detection , and for the conduct of amino acid sequence and bioinformatics analysis .

方法采用基因克隆、测序及生物信息学技术，分析HLA新等位基因与HLA已知基因序列的差异。

Methods Molecular cloning , sequencing and bioinformatics techniques were used to identify the difference between the new HLA allele and other known alleles .

生物信息学分析表明，来源于人的结肠、肾和胃的几个表达序列标签（EST）克隆和大鼠的这一蛋白质序列匹配。

Bioinformatics analysis showed that several human EST clones from pooled colon , kidney or stomach matched the rat protein sequence .

生物信息学是应用计算机技术将生物化学和分子生物学试验的海量信息转换为数字信息的一门科学，其重点是DNA和蛋白质序列的比对和分析。

Bioinformatics is a new subject which uses computational techniques to convert huge information from biochemical and molecular biology experiments into digital information , with emphasis on DNA and protein sequence alignment and analysis .

本文就生物信息学的定义，研究的基本问题和可能取得的突破进行了综述，内容包括分子生物学数据库、DNA序列分析、蛋白质结构预测和分子进化等；

In this paper the definition , the basic problems and the possible breakthrough of Bioinformatics , including biological databases , analysis of DNA sequences , and prediction of protein structures and molecular evolution , are reviewed .