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.
表位预测是运用生物信息学方法对过敏原表位进行预测。
Epitope prediction is a prediction of allergen epitopes achieved by means of the bioinformatics methods.
生物信息学方法需要链接关于通路的现有知识与不断增长的大量实验数据。
Bioinformatics methods are needed to link the existing knowledge about pathways with the growing amounts of experimental data.
并应用生物信息学方法分析该基因的同源性、蛋白结构域及跨膜拓扑结构。
Bioinformatic methods were employed to analyze the homology of the nucleotide and amino acids sequence of beta subunit gene and its possible protein domain and transmembrane topology.
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.
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.
然后用生物信息学方法对其结构域和功能作用位点进行分析和预测，并绘制该蛋白的进化树。
The structure and functions of the protein were analyzed by bioinformatics method, and the phylogenetic tree of the protein was drawn.
应用生物信息学方法对CYP2D6基因突变致使的酶活性的下降做出一些可能的解释是可行的。
It is feasible to explain CYP2D6 mutation-induced the reduction in the activity of enzymes by bioinformatics.
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.
她为生物学家们讲授生物信息学方法的课程。她正期盼着下一个假期的来临，可能在2006年的某个时候。
She teaches introductory courses in bioinformatics methods for biologists and islooking forward to her next real vacation, sometime in 2006.
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.
孙俊锋，棘怀庆，雄英，李宗吉，王娅娜，赵巍【摘要】目的用生物信息学方法从世界权威数据库检索筛选能用于诊断或治疗的细粒棘球蚴靶蛋白。
Objective To screen specific target proteins for early diagnosis or therapy of echinococcosis by screening the authoritative databases from all over the word with bioinformatics method.
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.
总结归纳了机器学习方法在目前生物信息学的应用，并对支撑向量机（SVM）算法的基本原理做了阐述；
Secondly, summarize the application of the machine learning methods in the bioinformatics and expatiate on the rationale of the Support Vector Machine (SVM).
序列比对算法是生物信息学中重要的研究方向之一，而动态规划法是序列比对算法中最有效最基本的方法。
Sequence alignment algorithm is an important research direction in Bioinfor-matics. Dynamic programming is the most efficient and basic method in sequence alignment algorithm.
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.
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.
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.
多序列联配（MSA）在生物信息学研究中占有重要地位，MSA问题是一个典型的NP问题，遗传算法是求解NP完全问题的一种理想方法。
Multiple Sequence Alignment (MSA)has great importance in the field of Bioinformatics, MSA is a typical NP-Complete problem, and genetic algorithms (GAs )is the perfect method for solving NP-Complete.
本研究描绘了生物信息学与数据挖掘这一交叉领域的研究概况，为后续数据挖掘方法与生物信息学研究相结合提供帮助。
This study depicts the overview of the crossing field of data mining and bioinformatics. It is helpful for combining the bioinformatics with data mining.
在这篇综述中，我们描述了在生物信息学中使用的一些重要的概念、方法、软件包和数据库，所强调的是与植物学相关的那些内容。
In this review, we describe some of the key concepts, methods, software packages, and databases used in bioinformatics, with an emphasis on those relevant to plant science.
LIAI科学家理论上认为对抗原决定簇mhc结合的生物信息学预测方法同样适用于其他病毒。
The LIAI scientists theorize that the bioinformatics prediction approach for epitope MHC binding will be applicable to other viruses.
序列比对是生物信息学领域一种重要的研究方法，进行比对可以根据已知序列对未知序列的结构和功能进行快速的预测。
Sequence alignment is an important research method in Bioinformatics. It can predict the structures and functions of unknown sequences by aligning them to the known similar sequences.
生物信息学研究将对生物学的所有方面产生影响，而病毒学不能从这些研究方法中免除。
Bioinformatics research will have an impact on all of biology, and virology is not immune from these research methods.
我们以斑马鱼为模式动物，利用发育遗传学、生物信息学和分子化学的方法研究心脏和血管的分化形成以及环境对心血管发育的影响。
We are studying heart and blood vessel in zebrafish embryos, an experimental system that affords a powerful combination of genetic analyses with molecular, embryological and chemical approach.
我们以斑马鱼为模式动物，利用发育遗传学、生物信息学和分子化学的方法研究心脏和血管的分化形成以及环境对心血管发育的影响。
We are studying heart and blood vessel in zebrafish embryos, an experimental system that affords a powerful combination of genetic analyses with molecular, embryological and chemical approach.
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