基因识别

  • 网络gene identification;Gene Recognition;Gene finding
基因识别基因识别
  1. 因此,miRNA基因识别需要寻求计算方法来弥补实验方法的不足。

    Hence , computational approaches are a natural choice to complement experimental approaches to miRNA gene identification .

  2. 基于非线性支持向量机的原核生物基因识别

    Prokaryotes gene identification based on nonlinear SVM

  3. 隐Markov模型的基本原理及其在基因识别中的应用

    Basic theory of hidden Markov model and application in gene recognition

  4. 其次,我们开发了基于Z曲线方法的真核生物从头预测基因识别软件ZcurveE。

    Furthermore , a new ab initio gene-finding software for eukaryotic organisms , Zcurve_E , has been proposed in this section .

  5. 我们还发现基因组的GC含量比进化上的亲缘关系对于细菌、古细菌的基因识别更为重要。

    We also find that the genomic GC content of bacterial and archaeal genomes is more important than phylogenetic lineage in gene recognition .

  6. 论文的第三部分介绍了应用Z曲线方法对细菌和古细菌的基因识别。

    The third part of the paper proposes the application of Z curve method in the recognition of protein-coding genes in prokaryotic genomes .

  7. 基因识别算法的目标是识别出DNA序列中的完整基因结构,本文采用广义隐Markov模型作为基因组序列标注系统的主体算法。油气系统是最有利的系统;

    The purpose of gene finding algorithms is to identify the whole structure of gene in DNA sequences . In this thesis , the general hidden Markov model is used as the frame algorithm of DNA sequences annotation system .

  8. RNA-Z曲线及其在病毒基因识别中的应用

    RNA-Z Curve and Its Application in Distinguishing Bacterial Genomes

  9. 基于隐马尔科夫模型的基因识别系统设计与实现

    Design and Realization of Genes Recognizing System Based on Hidden Markov Model

  10. 人类新基因识别与蛋白质结构域鉴定

    Dissertation Identification of Human Novel Genes and Protein Sequence Motifs

  11. 原核生物基因识别算法研究和基因组进化分析

    Studies on Recognizing Protein-coding Genes in Prokaryotic Genomes and Analyzing Genome Evolution

  12. 强直性脊柱炎的新易感基因识别研究

    Recognition and Study of Susceptible Gene to Ankylosing Spondylitis

  13. 原核基因识别中的一种负样本生成算法

    A self-similarity-map-based algorithm for generating negative samples and its application in prokaryotic gene recognition

  14. 二阶隐马尔科夫模型在基因识别中的应用

    The Application of Second-order HMM in Gene Recognition

  15. 利用决策森林方法的集成优势,提出基于决策森林的两种特征基因识别方法。

    We investigate two feature selection methods by using the ensemble advantage of decision forest .

  16. 自动的基因识别和颜色编码增加了摘要的可读性,并显著地加速了文献研究。

    The automatic gene recognition and color coding increases the readability of abstracts and significantly speeds up literature research .

  17. 基因识别、基因治疗、基因药品以及药物基因组学渗透到了医学的每个角落。

    Gene diagnosis , gene therapy , gene pharmacy , and pharmaceutical genomics have penetrated every corner of medicine .

  18. 经过20多年的努力,匿名基因组序列基因识别领域取得了引人入胜的成就。

    Development new methods to identify genes in anonymous genomic sequences have been going on for more than 20 years .

  19. 进行哮喘相关研究的整合分析研究,并提供每个位点/位基因识别可靠度的网页注解来源。

    Perform a meta-analysis of studies of asthma association studies and provide a web-annotated resource of the reliability of each locus / allele identified .

  20. 个体基因识别卡的研制与应用不同个体基因异常的种类和方式不同。

    The Application of Genetic Identification Cards in Family Planning System The number and type of gene alteration were different among indi - viduals .

  21. 在某种程度上,该算法是便于计算且独立于其他样本信息的。由于这种算法可以利用一种自适应机制,再不需要任何其他训练样本的情况下完成基因识别。

    The new algorithm is computationally simple and standalone in some sense that a self-training scheme can be used without employing any other training data .

  22. 在基因识别的两类算法中,判别算法通常需要正负两类样本来训练参数。

    In the two types of gene recognition algorithms discriminant and clustered , the discriminant algorithms usually need two groups of samples as training parameters .

  23. 复杂疾病分类,差异表达基因识别和基因之间关系的研究是基因表达谱分析的三个主要任务。

    Classification of complex diseases , identification of differentially expressed genes and analysis of relations between genes are three important issues of analyzing gene expression data .

  24. 许多脊柱侧凸研究学会的会员在进行侧弯的基因识别研究,而且这一方面的研究发展迅猛。

    Many Scoliosis Research Society members are working to identify the genes that cause AIS , and this knowledge continues to expand at a rapid pace .

  25. 本论文主要致力于原核生物与真核生物及冠状病毒蛋白质编码基因识别以及基因组分析方面的工作。

    This paper describes some new approaches for recognizing protein-coding genes in bacterial and archaeal , coronavirus and eukaryotic genomes by using the Z curve method .

  26. 目前已广泛应用于疾病智能诊断系统构建、疾病危险因素的筛查、疾病风险评估以及基因识别和蛋白质结构分析等领域。

    Intelligent diagnosis system has been widely used in disease diagnosing , screening and evaluating of risk factors , as well as gene identification and protein structure analysis .

  27. 近年来的研究尽管已经提出有关植物的非寄主抗性可能是通过多个微效抗性基因识别来自不同病原物的多种激发子来实现的,但是对其遗传学基础不清楚。

    The genetic basis of nonhost resistance is not clear though it was proposed that simultaneous recognition of a number of pathogen-derived molecules by multiple resistance genes is involved .

  28. 研究多序列比对对于蛋白质的功能域识别、二级结构预测、基因识别以及分子系统发育分析等具有重要的意义。

    Research on Multiple Sequence Alignment is significant for recognition of protein domain structure , prediction of secondary structure , gene identification , and molecular phylogenetic analysis and so on .

  29. 目的在于分析这些基因识别方法的稳定性与高准确率,以期为探索新的未知基因提供新方法、新思想。

    Our aim is to analyze the stability and high accuracy of these gene finding algorithms . Then try to find some new methods and ideas for gene finding problem .

  30. 本论文的主要内容是原核生物蛋白质编码基因识别以及通过序列比对的方法确定微生物的必需基因。

    This paper describes a little improvement in recognizing protein-coding genes in bacterial genomes using the Z curve method and also tries to use the BLAST to identify the essential genes in microbes .