Prediction encoding method research in bioinformatics 生物信息统计预测中新编码方法的研究
Nowadays, bioinformatics software has been widely applied in molecular biology experiments and promoted the related research processes. 现今,生物信息学软件已经广泛应用于分子生物学实验,加快了实验进程。
It is very important to analysis biological sequences by comparing their similarity or dissimilarity in the research on bioinformatics. 生物序列相似性(或差异性)分析是生物信息学研究的一种重要的方法。
Nowadays the in silico scenario for drug design is totally dependent on structural biology and structural bioinformatics. 现在,药物设计的计算机方案完全依赖于结构生物学和结构生物信息学。
Bioinformatics is a science using computer to store, retrieve and analyze biological information in biology science. 生物信息学是在生命科学研究中,以计算机为工具对生物信息进行储存、检索和分析的科学。
The method for discovering this protein underscores the power of bioinformatics for addressing the challenges of emerging infectious diseases. 发现这个蛋白的方法突出了,生物信息学在标记形成感染性疾病的刺激中所起到的重要作用。
Functional Analysis of Microarray Data Using Bioinformatics Methods 生物信息学方法在基因芯片数据功能分析中的应用
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。
MGD collaborates with the bioinformatics community on the development and use of biomedical ontologies such as the Gene Ontology and the Mammalian Phenotype Ontology. MGD与生物信息学社区在生物医学本体论的开发和使用上合作,例如基因本体论和哺乳动物表型本体论。
We assess to what degree the experience gained by the pattern recognition research community pervades these bioinformatics studies. 我们评估了遍布于这些生物信息学研究中的由模式识别研究社区获得的经验达到什么样的程度。
This article introduces the development situation of bioinformatics database in the world, and its application on agriculture. 本文介绍了近几年来世界生物信息数据库发展的状况,并简述生物信息数据库在农业上的应用。
The formation, development of bioinformatics and the researches of bioinformatics database and functional genomics were reviewed. 综述了生物信息学的形成与发展及其数据库和功能基因组学研究;
Algorithms, models, software, and tools in Bioinformatics. 算法,模型,软件和生物信息学工具。
The Progress of Development for Plant Molecular Markers Based on Bioinformatics and Biotechnology 基于生物信息学与生物技术开发植物分子标记的研究进展
Nucleotide and protein sequences are the foundation for all bioinformatics tools and resources. 核酸和蛋白质序列是所有生物信息学工具和资源的基础。
Epitope prediction is a prediction of allergen epitopes achieved by means of the bioinformatics methods. 表位预测是运用生物信息学方法对过敏原表位进行预测。
This interdisciplinary course provides a hands-on approach to students in the topics of bioinformatics and proteomics. 本交叉学科课程为学生提供了生物资讯学和蛋白质体学的实验学习方法。
Finally, we explore a few emerging research topics in bioinformatics. 最后,我们探讨了生物信息学中新兴的研究课题。
The research direction of this dissertation is about the microarray based gene mining in the bioinformatics subject. 本论文的研究方向是生物信息领域的基于基因表达谱的基因挖掘。
A Bioinformatics Specialist with a strong background in the fields of Molecular Biology and Biostatistics was hired. 在分子生物学和生物统计学领域中具有很强背景的一个生物信息学专家被雇用。
Summary Analysis some important databases and their applications in the research of Bioinformatics, and analysis the forecast to the present situation. 综述分析了在生物信息学中几种重要的数据库及其应用,并对现状进行了分析与展望。
Advances in mass spectrometry-driven proteomics rely on robust bioinformatics tools that enable large-scale data analysis. 质谱驱动的蛋白质组学的进展依赖于使得大规模数据分析成为可能的鲁棒的生物信息学工具。
Bioinformatics& Computational analysis and storage of biological and experimental data, widely applied to genomic and proteomic studies. 运用计算机分析和贮存生物学和实验数据,已被广泛运用于基因组学和蛋白组学的研究。
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 structure and functions of the protein were analyzed by bioinformatics method, and the phylogenetic tree of the protein was drawn. 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。
These experimental approaches have been aided by tremendous advances in high-throughput genomic and epigenomic technologies, integrated systems biology and bioinformatics. 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。
Working out which microbes are present in each sample is a formidable challenge in bioinformatics. 找出每份样本中有哪些微生物存在,是生物信息学中的一项艰巨挑战。
Here, we discuss its importance in developing and delivering an educational system in Bioinformatics based one-learning environment. 这里,我们讨论了基于电子学习环境开发和发布一个生物信息学教育系统的重要性。
Bioinformatics is the interdiscipline of computational molecular biology and information processing science. 生物信息理论与技术是计算分子生物学与计算机科学之间以及信息处理的交叉学科。
Studies on New Informatics Methods of Chemometrics and Bioinformatics in Informatics Analysis 信息分析中的化学计量学和生物信息学新方法研究