信息生物学

脑梗塞的He-Ne激光血管内照射治疗的信息生物学分析

Cerebral Infarction Therapy Information Biology Analysis of the Intravascular Low-Intensity He-Ne Laser Irradiation on Blood

对这些数据进行有效地分析和利用，不仅是计算机科学发展的目标，同时也能在很大程度上推动医学、地质学、气象学等传统学科和信息生物学、组合化学等新兴交叉学科的发展。

Analyzing these massive data is the goal of computer science . And the technique can also promote much of the medicine , geology , meteorology , other traditional disciplines , information biology , combinatorial chemistry and other new cross-discipline .

昆虫性信息素生物学研究与应用进展

Progress of Biology Study and Application of the Sex Pheromone of Insect

模糊信息在生物学、医学、经济学、语言学与通信学中的应用是有广阔前景的。

Applications of fuzzy information theory to biology , medicine , economics , linguistics and Communication science are very promising .

实时获取RNA合成、转运、表达、定位的信息对分子生物学、病理生理学、药物的开发及疾病的诊断等研究都具有重要的推动作用。

The essential information on RNA synthesis , processing , transport , and localization obtained in real time will offer unprecedented opportunities for advancement in molecular biology , disease pathophysiology , drug discovery , and medical diagnostics .

运用信息技术进行生物学模型方法教学的研究

An Exploration into Biological Model Method 's Teaching Approach by Way of Information Technique

太赫兹技术涉及电磁学、光电子学、半导体物理学、材料科学以及微加工技术等多个学科，它在信息科学、生物学、医学、天文学、环境科学等领域有重要的应用价值。

Terahertz ( THz ) technology deals with electromagnetics , optoelectronics , semiconductor physics , material science , and micro-technology .

利用信息技术促进生物学表象形成的具体策略有：动态模拟；

Make use of the information technique promote biology idea formation of the concrete strategy have : The dynamic state imitate ;

生物信息学是生物学与计算机科学以及应用数学等学科相互交叉而形成的一门新兴学科。

Bioinformatics in biology and computer science and applied mathematics disciplines , such as cross-cutting and the formation of an emerging discipline .

机器学习是一个崭新的计算机应用领域，而生物信息学是生物学与计算机科学以及应用数学等学科相互交叉而形成的一门新兴学科。

Machine learning is a brand-new computer application realm , but bioinformatics is a newly arising course that biology crosses with computer science and applied mathematics etc.

生物信息学是生物学、应用数学和计算机科学相结合的多学科交叉研究领域，基因组信息学是其中一个重要的研究分支，具有重要研究意义和广泛的应用价值。

Bioinformatics is the interdisciplinary of biology , applied mathematics and computer science . Genome Informatics is one of the important research branches of Bioinformatics which has important significance and the widespread application value .

自此，复杂网络引起了国内外学者的广泛关注，已成为物理、数学、信息技术、生物学以及社会学的研究热点。

Since then , complex networks have attracted research attention of domestic and international scientists from multiple disciplines , and become hot research topics in physics , mathematics , information science , biology as well as sociology .

过渡金属配合物与DNA的相互作用为药物设计提供信息，是分子生物学的研究工具。

Studies on transition-metal complexes with DNA are of great interest to get information about drug design and tools of molecular biology .

本论文运用生物信息学和分子生物学方法，从日本七鳃鳗白细胞cDNA文库中搜索到一条能够表达Vav3的EST序列。

In this study , molecular biology and bioinformatics methods were used to analyze the expressed sequence tags ( ESTs ) of the leukocytes cDNA library of Japanese lampreys .

本文将生物信息学和分子生物学技术结合，克隆得到青鳉鱼Na~+-K~+-ATPaseα、Na~+-K~+-ATPaseβ和GR三个基因的序列片段，并经过分析得到证实。

Combined bioinformatics with molecular biology technology , sequence segments of three genes of GR , Na ~ + - K ~ + - ATPase α and β have been coloned and identified by analysis .

经查阅NCBI（美国国家生物技术信息中心）的生物学相关文献，可证明该融合算法获得的基因子集具有重要生物学意义。

The result gene subset has important biology meaning and that could be proved by searching the biotechnology reference from the NCBI ( National Center for Biotechnology Information ) site .

生物信息学是分子生物学和计算机科学的交叉科学。

Bioinformatics is the interdiscipline of the molecular biology and computer science .

生物信息学和计算生物学研究领域。

Bioinformatics and Computational Biology research areas .

信息技术与中学生物学教学的整合是当前生物学教学研究的重要课题。

IT integrated biology teaching in middle school is an important project for future education development .

揭示基因组水平上的基因表达调控规律是生物信息学和分子生物学所面临的挑战性问题之一。

Understanding the regulation of the gene expression is one of the challenge problems in bioinformatics and molecular biology .

随着医学信息学及分子生物学的发展，人类积累了海量的生物医学数据。

With the development of medical informatics and molecular biology , vast amounts of biomedical data have been accumulated .

我们运用质谱学，生物信息学，分子生物学，遗传学和生物化学手段研究上述课题。

We employ a combination of mass spectrometry , bioinformatics , molecular biology , genetics and biochemistry to address these questions .

在本研究中，我们联合结构生物信息学和系统生物学的方法来预测和分析阿司匹林在全基因组范围内的潜在靶标和分子通路。

In this study , we combined structural bioinformatics and systems biology approaches to predict potential targets and molecular pathways of aspirin in genome-wide .

本研究阐述了较全面的信息技术与中学生物学教学整合的理论和具体实现的方式，并提供了一些作者探索性的典型实践案例，以供参考借鉴。

This study completely brought forward the theory of IT integrated biology teaching in middle school and the modes of practice with some typical cases for other people .

相似字符串匹配是计算机科学中的一个基础问题，它在很多领域都有广泛的应用，如信息检索、计算生物学和模式识别等。

Approximate string matching was a basic issue in computer science . It was widely used in various fields such as Information Retrieve , Computational Biology , Pattern Recognition , et al .

随着生物信息学和计算生物学的发展，通过研究已知蛋白-蛋白相互作用位点的这些不同特征，出现了一些利用序列与结构信息预测蛋白-蛋白相互作用位点的计算方法。

With the development of Bioinformatics and computational biology , some computational methods based on sequence and structure information by characterizing the known interaction sites for protein-protein interaction sites prediction is developed .

物理学与生物科学的交叉由来已久，这不仅解决了自然界许多重大的理论问题，并且在高层次上开辟了新的技术领域，如生物信息学、纳米生物学和脑与认知科学等。

Physics and biology have a long history of interaction , which not only solved many theoretical questions in nature , but also opened up new fields of technology , such as bioinformatics , nanobiology and cognitive science .

一方面，基因组学、蛋白质组学、转录组学、代谢组学、生物信息学、系统生物学等新兴学科的崛起与发展，为药物发现提供更为广泛而深刻的理论基础；

On the one hand , the theoretics of drug discovery become more comprehensive and more profound as the development of numerous new disciplines such as genomics , proteomics , transcriptomics , metabonomics , bioinformatics and system biology ;

在现实生活中，串匹配技术的应用十分广泛，其主要应用领域包括：入侵检测、病毒检测、信息检索、信息过滤、计算生物学等等。

In real life , String matching has extensive application which areas include intrusion detection , virus detection , information retrieving , information filtering and computational biology etc. Research on string matching and its rapid development is interconnected with real application .

如何挖掘海量基因表达信息中的有用信息，并进行生物学专业解释是基因表达谱数据分析领域所面临的一个重要挑战。

The main challenge faced by the researchers is to extract useful information from such gene expression profiles and then implement biological interpretation of such results .