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   基因功能注释 的翻译结果: 查询用时:0.011秒
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基因功能注释
相关语句
  annotation of gene function
     Annotation of Gene Function: A Big Challenge in the Post-genomic Era
     基因功能注释——后基因组时代面临的挑战
短句来源
     In this paper,drawbacks in the annotation of gene function currently used in genomics and some strategies beneficial to the annotation of gene function are discussed.
     本文综合讨论了目前基因组中基因功能注释存在的问题及解决这些问题的策略与方法。
短句来源
  gene functional annotation
     Gene functional annotation showed that 1584 genes were full-length and 1346 genes were new full-length genes in the 2089 genes. Among the full-length new genes, 569 were from A genome, 553 from S genome and 468 from D genome.
     基因功能注释表明,在得到的2089个基因中,有1584个基因为全长基因,1346个为小麦全长新基因,其中A基因组569个,S基因组有553个,D基因组468个。
短句来源
     By combining the gene functional annotation information from databases GO,KEGG,BIND,MIPS,and Unists, this tool can facilitate the experimenters to choose properly designed microarrays.
     通过结合GO、KEGG、BIND、MIPS、Unists数据库的基因功能注释信息 ,该软件有助于实验人员选择或设计合适的芯片开展芯片实验
短句来源
  “基因功能注释”译为未确定词的双语例句
     These results may provide some useful clues for rice genetic engineering and breeding practices.
     文章综述了水稻基因组测序及基因功能研究的现状,并就新基因发掘和基因功能注释的方法作了评述,期待为水稻遗传工程和育种实践提供参考。
短句来源
     GoBlast increases the reliability of gene annotation, and accelerates the speed of functional genome research.
     通过GoBlast系统,对于新基因,研究人员只须1次分析运算,就可以同时获得Blast搜索结果和GO注释信息,从而有效地提高了基因功能注释的可信度,加速了功能基因组学的研究.
短句来源
  相似匹配句对
     Functional Genes of Orchids
     兰花的功能基因
短句来源
     Functional Redundancy of Gene.
     基因功能冗余
短句来源
     Annotation of Gene Function: A Big Challenge in the Post-genomic Era
     基因功能注释——后基因组时代面临的挑战
短句来源
     4 new genes were obtained.
     U基因
短句来源
     Various bioinformatics software tools from sequence analysis to gene identification and function prediction were implemented in MGAP.
     基因注释系统整合多个基因识别、功能预测和序列分析软件 ;
短句来源
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In order to compare the functional bias of specially designed microarrays。We developed a simple yet useful tool GeneHubD for the functional evaluation and design of gene chips。By combining the gene functional annotation information from databases GO,KEGG,BIND,MIPS,and Unists, this tool can facilitate the experimenters to choose properly designed microarrays.

为了比较特定的基因芯片的功能偏岐 ,我们研制开发了一个简单实用的基因芯片功能评价与辅助设计软件GeneHubD。通过结合GO、KEGG、BIND、MIPS、Unists数据库的基因功能注释信息 ,该软件有助于实验人员选择或设计合适的芯片开展芯片实验

Rice is known to be one of the most important crops for human consumption. As the model cereal crop, large-scale se- quencing of rice genome must play quite important roles both in theoretical research and practical application in rice breeding, which announces the opening of another new way to resolve the world food crisis. At present, the emphasis of rice genome research has been transferred from structure genomics to functional analysis. The discovery of new genes and annotation of gene function was believed...

Rice is known to be one of the most important crops for human consumption. As the model cereal crop, large-scale se- quencing of rice genome must play quite important roles both in theoretical research and practical application in rice breeding, which announces the opening of another new way to resolve the world food crisis. At present, the emphasis of rice genome research has been transferred from structure genomics to functional analysis. The discovery of new genes and annotation of gene function was believed to be an important issue in functional genomics research. In this article, the sequencing and functional research of the rice genome were reviewed. These results may provide some useful clues for rice genetic engineering and breeding practices.

水稻是重要的粮食作物。作为单子叶模式植物,水稻基因组的大规模测序具有巨大的理论价值和现实意义。目前已获得了籼稻“93-11”和粳稻“日本晴”高质量的基因组数据,这为在基因组水平上深入研究其生长、发育、抗病和高产等的遗传机理提供了便利,从而为进一步解决世界粮食危机提供了新的突破口和契机。随着水稻基因组计划的顺利结束,其研究重心也已由建立高分辨率的遗传、物理和转录图谱为主的结构基因组学转向基因功能的研究。结构基因组学研究获得的大量序列数据为揭示和开发功能基因开辟了广阔的前景。目前,利用图位克隆和电子克隆等方法已成功分离了多个水稻抗病、抗虫、抗逆境、抗倒伏、高产、优质等重要农艺性状相关的基因,对培育水稻新品种,促进农业的可持续发展意义重大。据估计,水稻至少拥有3.7万个非转座因子相关的蛋白编码基因。因此,完成全基因组序列测定后,重要基因功能的鉴定已成为当前基因组学研究的主要目标。反向遗传学、大规模基因功能表达谱分析和蛋白质组研究等策略已在研究水稻重要基因的功能方面发挥了重要作用。文章综述了水稻基因组测序及基因功能研究的现状,并就新基因发掘和基因功能注释的方法作了评述,期待为水稻遗传工程和育种实践提供参考。

Recent efforts in high-throughput sequencing have given rise to a rapid increase in the amount of sequences available in the public databases. How to use these sequences efficiently to predict gene function is an important problem. Blast is a basic tool to predict novel gene function, but scientist can not based on the raw result of blast to find gene ontology (GO) annotation. Presently, user do Blast search first, then use the Blast search result to query the GO annotation on the website of gene ontology. This...

Recent efforts in high-throughput sequencing have given rise to a rapid increase in the amount of sequences available in the public databases. How to use these sequences efficiently to predict gene function is an important problem. Blast is a basic tool to predict novel gene function, but scientist can not based on the raw result of blast to find gene ontology (GO) annotation. Presently, user do Blast search first, then use the Blast search result to query the GO annotation on the website of gene ontology. This waste a lot of time, especially when the result of Blast is huge. To be efficient, we developed the GoBlast system, it combines the Blast and GO search in one action, the user can see both the Blast result and the GO annotation in the GoBlast result. GoBlast increases the reliability of gene annotation, and accelerates the speed of functional genome research. The system architecture is B/S(Browser/Server), only if the client computer has a web browser, it can use the GoBlast software over the network. GoBlast can be used on Internet through the web interface provided at http:bioq.org/goblast.

随着越来越多基因组测序的完成,人们可以获得大量的序列信息,如何利用这些信息对未知基因的功能进行预测是一个非常重要的问题.Blast是基本的预测新基因功能的工具,但是仅通过Blast的原始搜索结果,尚无法获得相关基因本体论(geneontology,GO)注释信息.目前,用户为了获得新基因的GO注释信息,首先需要进行Blast搜索,然后用Blast搜索的结果到GO网站去查询相关的GO注释信息.这浪费了大量的时间,尤其是当Blast的结果数据量很大时.为此,基于GO分类系统,整合BLAST的结果信息,结合bioperl模块,使用perl语言开发了GoBlast软件.通过GoBlast系统,对于新基因,研究人员只须1次分析运算,就可以同时获得Blast搜索结果和GO注释信息,从而有效地提高了基因功能注释的可信度,加速了功能基因组学的研究.GoBlast为B/S(Browser/Server)架构,用户客户端只要有浏览器程序,就可以通过国际互联网在http://bioq.org/goblast上使用GoBlast系统.

 
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