生物序列分析是机器学习和数据挖掘技术一个重要的应用领域。
Biological sequence analysis is an important application domain of data mining technology.
生物序列分析的主要研究内容包括序列比对、蛋白质结构预测、基因组序列分析等。
The biological sequence analysis research content mainly includes the sequence alignment, the protein structure prediction, and the genome sequence analysis etc.
分子生物学软件链接是由丹麦技术大学生物序列分析中心提供的有关生物信息学的链接。
Molecular Biology Software Links is the molecular biology software links provided by the Center for Biological Sequence Analysis at the Technical University of Denmark .
因此分析DNA序列的分形特性不仅有助于理解生物进化的规律，而且它还有助于了解遗传语言的特征。
The analysis of DNA sequence not only helps us to find out rules in biological evolution but also understand the character of genetic language.
一项数学发现已经应用到新的人类基因组定位方法的研究上来，可能给癌症生物学带来比传统DNA序列分析更快、更廉价而有效的研究工具。
A mathematical discovery has extended the reach of a novel genome mapping method to humans, potentially giving cancer biology a faster and more cost-effective tool than traditional DNA sequencing.
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.
DNA序列分析研究是生物信息学的重要内容之一。
Research on DNA sequence analysis is one of important subjects in Bioinformatics.
系统发生分析被广泛应用于研究不同生物DNA、蛋白质序列的进化关系。
Phylogenetic analysis has been used to study the evolutionary relationship among DNA and protein sequences of various organisms extensively.
线性增长型模型被广泛应用于经济领域和对生物信号的时间序列的分析和预报。
Linear growth model is widely used in the analysis and forecast of time series in economic and biological fields.
将DNA序列转移到微生物单细胞中，然后培养微生物，以产生大量DNA样本用以分析。
Cloning, molecular --- Transfer of a DNA sequence into a single cell of a microorganism, followed by culture of the microorganism to produce large quantities of the DNA sample for analysis.
在现代分子生物学技术研究中，常常需要对已知位点的侧翼序列进行分析或克隆，以研究基因的遗传表达调控。
In modern research of molecular biology, we usually need to analyse or clone these flanking sequence in given sites, so as to study gene expression and control.
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.
在对生物医学信号时间序列进行复杂度分析时，往往需要首先对原始信号进行粗粒化预处理。
It is often to take a coarse graining preprocessing before a complexity analysis is made for biomedical signal time series.
DNA序列的数值映射是用数学方法、物理方法和数字信号处理方法分析生物分子序列首先要解决的问题。
The first problem to be solved is to map DNA sequences onto numerical sequences in bio-molecular sequence analysis by mathematical, physical and digital signal processing methods.
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.
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.
生物序列数据是最重要的生物数据之一，通过对生物序列的分析，我们可以发现物种的遗传规律、物种间的关系等。
The biological sequence is one of the most important biological data. We will find genetic rules and relations between species by analyzing the biological sequences.
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.
此数据库收录的参考文章来自生物大分子序列的数学和计算机分析这一扩展中的领域。
This data bank stores the references of articles from the expanding field of mathematical and computer analysis of biomolecular sequences.
研制利用生物信息学方法通过分析数量迅速增加的EST序列开发ssr标记的有力工具。
As the number of EST sequences increasing, which supplies a valuable resource for the development of SSR markers, and bioinformatics has become a powerful tool for mining SSR.
然后，应用生物信息学对克隆序列进行分析。
Products of RT-PCR were sequenced and further analyzed by bioinformatics.
但国内外对鹿mstn基因的研究较少，未曾见到鹿的MSTN基因序列的报道，更未见对鹿的MSTN基因的生物信息学研究和基因多态性分析报道。
The study about deer MSTN gene was rarely reported in the present reports, the all sequence of MSTN gene, bioinformatics research and polymorphism analysis was never reported before.
再经生物信息学方法分析，基因芯片杂交分析，结果证实了该序列对于白色念珠菌的特异性。
Biological informatics and gene chip hybrid analysis proves the specificity of the sequence to candida albicans.
并利用生物信息学手段分析其基因序列、蛋白序列并构建基因的系统进化树。
And to use bioinformatics tools analyzing the sequences of genes and proteins, constructing the phylogenetic trees.
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著重要的应用。
Multiple sequence alignment is one of the essential tools of studying bioinformatics and it plays an important role in the evolution analysis and protein structure prediction.
进一步的生物信息学分析表明：它是一种分泌蛋白，含有一个具有20个氨基酸残基的信号肽序列。
The further bioinformatics analysis indicates that it is a secreted proteins and that it has a signal peptide of 20 amino acid residues.
我们也涵盖了与生物学序列分析、转录组分析、计算蛋白质组学、计算代谢组学、生物-本体论及生物学数据库相关的一些基本问题。
We also cover some fundamental issues related to biological sequence analyses, transcriptome analyses, computational proteomics, computational metabolomics, bio-ontologies, and biological databases.
我们也涵盖了与生物学序列分析、转录组分析、计算蛋白质组学、计算代谢组学、生物-本体论及生物学数据库相关的一些基本问题。
We also cover some fundamental issues related to biological sequence analyses, transcriptome analyses, computational proteomics, computational metabolomics, bio-ontologies, and biological databases.
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