生物信息分析基因结构、染色体定位，并行其推导蛋白性质与功能的研究。
The structure of the full-length novel gene, location on chromosome, property of protein encoded by full-length novel gene and its function were investigated by Bio-message technique.
结果表明，综合的生物信息分析可以为大部分新基因提供有价值的功能提示。
Our results showed that bioinformatics analysis could suggest possible functions of many different novel genes.
生物信息学是计算机科学与生物学的交叉学科，生物数据库及生物信息分析是其主要研究内容。
Bioinformatics is a cross subject between computer science and biology, the primary content of which contains biological database and biological information analysis.
这些质谱仪也将与机械管线整合起来，进行蛋白质的高通量处理，包括生物信息的分析。
They will be integrated with a robotic pipeline for high-throughput processing of proteins, including bioinformatic analysis.
研究员Matti Mintz说道：“这个实验证明了我们可以记录大脑信息，模仿生物网路进行分析处理，再将结果反输回大脑。”
It's proof of concept that we can record information from the brain, analyse it in a way.
兰姆伯特分析得出的结论得到宾夕法尼亚大学病毒演化专家迪·霍姆斯和马利兰大学生物信息学家史蒂文·扎尔茨贝格的回应。
His conclusions were echoed by Eddie Holmes, a virus evolution specialist at the University of Pennsylvania, and Steven Salzberg, a University of Maryland bioinformaticist.
通过有效手段从整合的异构生物信息资源中获取高质量的生物数据，能够为生物信息的分析和挖掘提供强有力的支持。
The analysis and mining of bioinformation can be strongly supported by means of acquiring high quality bio-data efficiently and conveniently from integrated heterogeneous bioinformation resource.
方法用白血病未知基因片段的碱基序列与网上多种公共生物信息资源进行比较，分析未知基因的结构与功能。
Methods Analysis of structure and function of the unknown genes in leukemia cells by compared its base sequence with multiple public bio information resource.
本文研究了从生物组织的背向散射信号中提取散射元间距信息的多分辨率分析方法。
Multiresolution analysis is used to estimate the scatterer spacing in biological tissue from the back-scattering signal.
表达序列标记和分子系统学分析，都隶属于生物信息学研究的范畴。
Both expressed sequence tags and phylogeny analysis are belonging to the field of bioinformatics.
简介了关联分析和功能分子标记的概念，基于比较基因组学和生物信息开发分子标记的策略。
The concepts of association analysis and functional markers, and strategies of developing functional markers based on comparative genetics and bio-information were also introduced.
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.
目的：探讨砷化物与基因的相互作用，克隆砷相关基因，利用生物信息学技术分析克隆基因。
Objective: To explore the interaction of gene with arsenic compounds, arsenic related gene was cloned and its function was analyzed by bioinformatics.
目的：筛选胃癌和癌旁正常胃组织间DNA甲基化差异片段并进行相关生物信息学分析。
Objective To isolate the differentially methylated DNA sequences betweengastric cancer and adjacent normal gastric mucosa and analyze them with relative bioinformatics methods.
运用生物信息学方法，对鸭瘟病毒TK基因的基本元件和TK蛋白的理化性质、结构、功能进行分析。
The basic elements of Duck Plague Virus TK gene and physicochemical properties, structure, function of TK protein were analyzed by using bioinformatics method.
对突变片段行生物信息学及临床表现型分析。
The sequence alterations were analyzed by bioinformatics and phenotype.
生物信息学是基因、基因结构、基因产物功能分析必不可少的技术手段。
Biological information was the essential technique for agricultural science, which could be used to analyze the gene, the gene structure, the function of gene product.
使用机器学习方法分析生物信息学中的复杂数据是目前重要的研究领域之一。
With the development of the bioinformatics, how to analyzes complex genomics data using machine learning approach has become an important research field.
利用生物信息学方法对检测结果进行分析。
The detected results were analyzed by bioinformatics method.
目的用生物信息学软件分析贯叶金丝桃查尔酮合成酶基因编码蛋白的多种蛋白质性质，获取该基因的相关因素。
Objective To obtain information of Chalcone synthase gene in Hypericum perforatum, the character of this gene and its product protein were analyzed by a series of bioinformatics software.
对突变片段行生物信息学分析。
利用生物信息学技术分析HBVDNAPTP1BP基因的染色体定位与组织表达，以及编码蛋白的化学物理性质与结构特征。
Bioinformatics technique was used to analyze the chromosome mapping and tissue expression of HBVDNAPTP1BP gene, and the chemical-physical property and structural feature of HBVDNAPTP1BP.
本文主要对适用于生物序列数据上的后缀树索引技术和生物信息学中的多序列比对算法进行了分析和研究。
This thesis mainly focuses on the study of suffix tree index technical dealing with bio-sequences and multiple sequences alignment problem in bioinformatics.
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.
生物信息学是蛋白质组研究不可缺少的技术，通过比较质谱分析结果与蛋白质数据库中的氨基酸序列可实现蛋白质的鉴定。
Bioinformatics which is an indispensable technique can evaluate the protein by comparing the results of mass spectrometry and the amino acid rank in protein databank.
在本论文中，主要研究基因芯片图像的分析和数据处理，从而提取出基因芯片的杂交反应信号点的亮度信息，获得有用的生物信息。
In this paper, we study mainly the methods of Gene image analysis and data processing. It can extract the hybridizing intensity and obtain the useful biological information.
在本论文中，主要研究基因芯片图像的分析和数据处理，从而提取出基因芯片的杂交反应信号点的亮度信息，获得有用的生物信息。
In this paper, we study mainly the methods of Gene image analysis and data processing. It can extract the hybridizing intensity and obtain the useful biological information.
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