助手标题  
全文文献 工具书 数字 学术定义 翻译助手 学术趋势 更多
查询帮助
意见反馈
   motif识别 的翻译结果: 查询用时:0.432秒
图标索引 在分类学科中查询
所有学科
生物学
更多类别查询

图标索引 历史查询
 

motif识别
相关语句
  “motif识别”译为未确定词的双语例句
     Introduction of Algorithms and Performance Research of Softwares for Motif Discovery
     Motif识别算法简介及软件性能研究
短句来源
     Protein pattern-matching method is a powerful tool for studying and predicting the structure and function of proteins.
     蛋白质MOTIF识别方法是研究和预测蛋白质结构和功能的一种重要工具。
短句来源
  相似匹配句对
     Introduction of Algorithms and Performance Research of Softwares for Motif Discovery
     Motif识别算法简介及软件性能研究
短句来源
     Identification of the Rosewoods
     红木识别
短句来源
     Facial expression recognition.
     表情识别
短句来源
     Protein pattern-matching method is a powerful tool for studying and predicting the structure and function of proteins.
     蛋白质MOTIF识别方法是研究和预测蛋白质结构和功能的一种重要工具。
短句来源
     Developing Graphical User Interface by Using MOTIF
     利用Motif开发图形用户界面
短句来源
查询“motif识别”译词为用户自定义的双语例句

    我想查看译文中含有:的双语例句
例句
为了更好的帮助您理解掌握查询词或其译词在地道英语中的实际用法,我们为您准备了出自英文原文的大量英语例句,供您参考。
  motif recognition
Computer motif recognition programs were used for interpretation of the sequence data to predict a structure for NS3.
      
A prerequisite of course is that primary sequences are sufficiently complex to allow unambiguous motif recognition.
      
Both options would result in an increase in computational intensity whilst producing more accurate domain or motif recognition.
      
Discriminant analysis and its application in DNA sequence motif recognition.
      
Thus, if we had a way to model more distant correlations, we might be able to improve the specificity of motif recognition.
      
更多          


Protein pattern-matching method is a powerful tool for studying and predicting the structure and function of proteins.We described the special consensus peptides of protein by physico-chemical properties matrix and present a fast,sensitive searching algorithm.Selected examples such as the three subfamilies of sugar kinases,the RNA binding proteins and the DNA binding proteis, will demonstrate applications and advantages of our approach. We have built a MOTIF database containing about two thousand MOTIFs.

蛋白质MOTIF识别方法是研究和预测蛋白质结构和功能的一种重要工具。木文用理化性质矩阵描述蛋白质的特征保守多肽,构建了一个包含两千多个MOTIF的库。并编制了快速而灵敏的MOTIF搜索软件。文中特别以3种重要而难辨别的MOTIF作为例证。此3种MOTIF是:在mRNA剪接和翻译中起关键作用的RNPMOTIF,用于研究甘油激酶缺损和非胰岛素糖尿病等人类遗传病机制的糖激酶MOTIF,以及许多真核组织中媒介序列特异结合DNA和蛋白质二聚化的BHLH-zip(基本区-螺旋-环区-螺旋-拉链)MOTIF。

Motif plays a key role in the gene-expression regulating on both transcriptional and post-transcriptional levels.(Nowadays) there are several algorithms and softwares on detecting Motif,but,however,there is few papers on comparing the performance of these algorithms and softwares.This paper comes up with this background to introduce the classification of the algorithms in general and three common algorithms: Wordup,MM,Gibbs sampling-in details.And a performance comparison is made on the thirteen softwares for...

Motif plays a key role in the gene-expression regulating on both transcriptional and post-transcriptional levels.(Nowadays) there are several algorithms and softwares on detecting Motif,but,however,there is few papers on comparing the performance of these algorithms and softwares.This paper comes up with this background to introduce the classification of the algorithms in general and three common algorithms: Wordup,MM,Gibbs sampling-in details.And a performance comparison is made on the thirteen softwares for Motif detecting such as AlignACE,MEME,MotifSampler,Weeder,etc.Based on the(biological) research and the performance report,this paper ends with a conclusion that Weeder is the most effective one of these softwares,for it is the only algorithm that takes account of the conserved core positions of Motifs;Most algorithms only consider simple and short Motifs,so their Motif detecting performance on monadic yeast is significantly higher than on metazoans.

Motif在转录和后转录水平的基因表达调控中起着重要的作用。目前,识别Motif的算法和相应的软件已有不少,但是却鲜有对各种算法及软件性能共同评测的研究和报告。介绍了算法的分类以及三种常见的Mo-tif识别算法W ordup,MM和G ibbs采样,并对A lignACE,MEME,MotifSampler,W eeder等13种Motif寻找软件进行性能比较分析。通过生物学意义的研究和性能比较结果可以得出:由于唯有W eeder算法考虑了Motif保守核心位置,因而它在各种软件中识别效果较好;大部分算法只考虑简单而且短的Motif,所以各种软件对酵母菌这种单细胞生物的Motif识别性能比多细胞生物要高。

 
图标索引 相关查询

 


 
CNKI小工具
在英文学术搜索中查有关motif识别的内容
在知识搜索中查有关motif识别的内容
在数字搜索中查有关motif识别的内容
在概念知识元中查有关motif识别的内容
在学术趋势中查有关motif识别的内容
 
 

CNKI主页设CNKI翻译助手为主页 | 收藏CNKI翻译助手 | 广告服务 | 英文学术搜索
版权图标  2008 CNKI-中国知网
京ICP证040431号 互联网出版许可证 新出网证(京)字008号
北京市公安局海淀分局 备案号:110 1081725
版权图标 2008中国知网(cnki) 中国学术期刊(光盘版)电子杂志社