bioinformatics

Bioinformatics is a new science field involves multi - disciplines as mathematics, statistics, computer science, biomedicine, etc.

生物信息学(Bioinformatics)是一门数学 、 统计 、 计算机与生物医学交叉结合的新兴学科.

Bioinformatics is a subject that combines biology, computer science and network.

生物信息学是一门生物学与计算机科学、网络相结合的学科.

Bioinformatics is another efficient technology of large - scale function prediction.

生物信息分析是另一种大规模基因功能预测的有效方法.

The topology prediction of transmembrane protein is a hot in Bioinformatics.

跨膜蛋白拓扑结构预测是生物信息学的研究热点之一.

Proteomic techniques mainly include two - dimensional electrophoresis, mass spectrometry and bioinformatics.

蛋白质组研究技术主要包括 双向 电泳 、 质谱和生物信息学.

My interests are bioinformatics, genomics, medical genetics, cell biology, and malacology.

我的主要兴趣是生物信息学 、 基因组学 、 医学遗传学 、 细胞生物学和贝类学.

Mount , David. Bioinformatics: Sequence and Genome Analysis. CSHL 2001.

《生物资讯学: 序列与基因体分析》冷泉港实验室, 2001年.

Two - dimensional electrophoresis , mass spectrometer and bioinformatics are three main techniques of proteomics.

双向 电泳技术 、 质谱技术和生物信息学是蛋白质组学的三大支撑技术.

So scientists must develop bioinformatics tools and Methods: To overcome this difficulty.

因此科学家必须开发生物信息工具和方法来克服这种困难.

Focus on the bioinformatics analysis of DNA methylation.

主要研究DNA甲基化的生物信息学分析.

Mycobacterium tuberculosis; secreted protein; signal peptide; bioinformatics.

结核分枝杆菌; 分泌蛋白; 信号肽; 生物信息学.

Repeating patterns play an important role in a variety of applications as music analysis and bioinformatics.

这样的重覆性样式在许多不同的领域像是音乐分析以及生物资讯演算法上伴演著重要的角色.

Our results showed that bioinformatics analysis could suggest possible functions of many different novel genes.

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.

The sorting of genomes rearrangements becomes an important research area of computational biology and bioinformatics.

基因组重组排序已经成为计算生物学和生物信息学的重要研究领域.

The focus of the present paper is on the web resources and applications of bioinformatics.

本文著重于介绍现有网路生物资源及生物资讯之取得与利用.